AI Technology Architect Jobs in Bengaluru

Manager, Enterprise Applications Location: Bengaluru Team: Tech Ops Experience Required: 8+ Years (including 2+ years in Leadership) About Aviatrix: Aviatrix is a leading cloud network security company trusted by over 500 enterprises. Our Cloud Native Security Fabric (CNSF) delivers runtime security and visibility, enabling teams to adopt AI and serverless computing with confidence. The Role: Technical Manager & Architect We are seeking a Manager, Enterprise Applications for a hybrid role that balances hands-on engineering with strategic leadership. You will drive the design of secure, scalable applications while fostering a culture of accountability and excellence within our Bengaluru development team. Technical Expertise Core Technology Stack: Serverless Mastery: Expert-level proficiency with AWS Lambda and AWS Step Functions. Full-Stack Development: Professional experience in Node.js, Python, and React. Data Management: Strong knowledge of Postgres and cloud platforms (AWS, Azure, GCP). Advanced Engineering Skills: AI & LLM Integration: Experience building LLM-powered applications and leveraging AI tools for code generation and architecture exploration. Security & Authentication: Deep understanding of SSO integrations, API design, and distributed systems security. Infrastructure: Familiarity with DevOps, CI/CD, and automated testing frameworks. Key Responsibilities Technical Leadership: System Design: Lead the delivery of complex enterprise applications, making critical strategic trade-offs and proposals. Operational Efficiency: Continuously improve application reliability, performance, and security. Cross-Functional Representation: Act as the primary technical liaison for stakeholders and business partners. People & Team Management: Team Mentorship: Conduct 1:1s, performance reviews, and career development discussions for junior engineers. Execution & Planning: Drive team performance through strategic planning, tracking, and alignment with organizational priorities. Growth: Lead technical hiring to expand the Enterprise Applications team. Benefits & Why Aviatrix Total Rewards: Comprehensive pension, private medical, life assurance, and long-term disability. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Inclusive Environment: We value unique paths. If you are passionate about leading engineers and solving cloud-scale challenges, we want to hear from you.

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Test Engineer (Senior QA Engineer / SDET) Department: R&D - Engineering Location: Bangalore About Acqueon: Acqueon is a leading provider of Generative AI-powered Revenue Execution Platforms. We empower customer-centric brands to orchestrate multi-channel campaigns and proactively engage consumers through voice, messaging, and email. Trusted by over 200 clients globally, we help enterprises elevate their customer experience, improve revenue recovery, increase sales, and build lasting loyalty. At the heart of Acqueon is a relentless focus on creating delightful, friction-free, and referral-worthy customer experiences using cutting-edge AI and data-driven technology. Position Overview: We are seeking a talented and experienced Senior QA Engineer / SDET to join our growing engineering team. This role focuses heavily on performance testing and test automation, ensuring our applications meet the highest standards of scalability, reliability, and usability. You will work in a collaborative environment with developers, DevOps engineers, and product teams, taking ownership of designing and executing complex test strategies using tools such as JMeter, Gatling, k6.io, and Selenium WebDriver. Key Responsibilities: Design, develop, and execute performance tests for web applications and backend APIs using JMeter, Gatling, or k6.io. Create realistic test scenarios and simulate workloads to evaluate system behavior under varying conditions. Conduct performance tuning and optimization, identify system bottlenecks, and provide recommendations for improvement. Work closely with development teams to analyze test results, diagnose issues, and drive resolutions. Build and maintain automation frameworks using Selenium WebDriver with Java, Cucumber, JUnit, TestNG, or Playwright. Contribute to the integration of performance and functional tests into CI/CD pipelines. Participate in architectural and design discussions to ensure performance considerations are included from the outset. Document test strategies, metrics, and findings, and communicate them clearly across teams. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field. 6 7 years of experience in performance testing and test automation. Strong hands-on experience with JMeter, Gatling, or k6.io. Expertise in building and executing performance test plans for web applications and APIs. Deep understanding of performance metrics, system tuning, and capacity planning. Proficiency in automation using Selenium WebDriver with Java, and frameworks like Cucumber, JUnit, TestNG, or Playwright. Solid knowledge of web technologies, protocols (HTTP/S), and application architecture. Strong analytical skills, attention to detail, and ability to work in dynamic, fast-paced environments. Excellent communication and collaboration skills. Preferred Experience: Experience with Agile/Scrum methodologies. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Exposure to cloud-based performance testing environments. Experience with monitoring tools (e.g., Grafana, Prometheus, New Relic) is a plus. What We Offer: A fast-paced, high-growth environment working on next-gen customer engagement products. The opportunity to work with cutting-edge technologies and global enterprise clients. A collaborative, people-first culture that values curiosity, ownership, and excellence. If you re passionate about quality, performance, and automation and love solving complex challenges we d love to hear from you. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Position: Senior Manager, Corporate Systems Engineering Location: Bangalore, India (Hybrid: 3 days in-office, 2 remote) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) powers the Connected Operations Cloud, enabling industries like transportation, construction, agriculture, and manufacturing to leverage IoT data for safety, efficiency, and sustainability. With a mission to digitize the backbone of the global economy, Samsara offers a high-impact, growth-driven environment where innovation meets real-world operations. Role Overview This leadership role oversees the Business Systems Engineering (BSE) team in Bangalore, managing core enterprise applications (e.g., NetSuite, Finance, Supply Chain) and leading the Automation Center of Excellence (CoE). The ideal candidate brings a blend of strategic vision, engineering acumen, and operational excellence, with a strong track record of ERP implementations and a curiosity for AI-driven transformation. Key Responsibilities Systems & Automation Leadership Lead and scale the Business Systems Engineering team, enabling next-gen systems for Finance, Accounting, and Supply Chain. Drive innovation through the Automation CoE, focusing on GenAI, bots, and workflow automation. Deliver high-impact solutions by aligning with business needs and ensuring scalable architectures. Strategic Program Management Manage cross-functional initiatives with measurable ROI, working closely with global IT and business teams. Own Agile transformation for business systems, shifting to a product-centric operating model. Drive programs from ideation to delivery balancing budget, resources, and technical execution. People Management & Collaboration Perform full-spectrum people management: hiring, mentoring, performance reviews, and retention. Foster an inclusive, high-performing team aligned with Samsara s core values. Serve as a trusted advisor to internal stakeholders across functions and geographies. Quality, Efficiency & Communication Set productivity and quality benchmarks for engineering teams. Champion continuous improvement with data-driven insights and automation. Communicate clearly with technical and non-technical audiences including executive leadership. Required Qualifications Core Experience 10+ years in software engineering, business systems, or enterprise application delivery. 5+ years of team leadership or engineering management experience. Proven success implementing NetSuite ERP and supporting enterprise systems. Strong delivery record across Agile, cross-functional, and globally distributed teams. Bonus Skills Experience with financial/ERP tools: Xactly, Vertex, Stripe, Zip, Workato. Passion and practical experience in AI and GenAI-driven transformation. Knowledge of SaaS best practices, data integration, and system scalability. What Makes You a Fit Strategic thinker who executes with precision. Passionate about enterprise system evolution and automation. Curious about how AI will reshape business technology. A culture builder who thrives in collaborative, mission-driven teams.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Golang Developer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a pioneer in Business Journey Observability, leveraging Big Data and Machine Learning to provide end-to-end visibility into customer journeys in financial services. Our platform monitors over 28 billion digital transactions monthly, impacting 300 million users, and powers major banks across India and MEA. Series B funded, recognized by Gartner, Forbes, and NASSCOM Work with cutting-edge observability technology in a fast-paced, innovative environment Collaborative, inclusive culture focused on learning, growth, and ownership Benefits include 100% health insurance (including dependents), mental wellness support, and career development programs Role Overview: Golang Developer You will develop and maintain backend microservices and APIs using Go, contributing to a scalable and robust product architecture. You will collaborate closely with the product and engineering teams, take ownership of deliverables, and help build features that differentiate VuNet s platform in the market. Key Responsibilities Develop backend services and RESTful APIs in Golang Work with product teams to design scalable and maintainable solutions Follow best practices: code reviews, unit testing, and coding standards Troubleshoot, debug, and optimize high-throughput distributed systems Collaborate in an agile startup environment, continuously learning and improving Mandatory Skills 3+ years of Golang development with deep understanding of concurrency and idioms Proficient in building REST APIs, microservices, gRPC, protobuf Experience with Docker, Kubernetes, Git, and CI/CD pipelines (GitLab CI, Jenkins) Familiarity with Kafka or NATS for messaging and streaming Knowledge of time-series/columnar databases (ClickHouse, Prometheus) Experience with metrics/logging/tracing tools (OpenTelemetry, Jaeger, ELK stack) Strong problem-solving and communication skills Good to Have Experience with Terraform, Ansible, Helm (IaC) Understanding Kubernetes and observability concepts (RED/USE metrics, SLOs, SLIs) Familiarity with PostgreSQL, Redis, Cassandra Background in observability, AIOps, or monitoring domains Agile and DevOps practices experience Benefits Comprehensive health insurance for you and family Mental wellness and 1:1 counseling Culture of innovation, growth, and ownership Access to next-gen AI and integrated technology workspace Supportive career growth and training programs

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Technical Staff, Software Engineering CTO Storage Team Location: Bengaluru, India Team: CTO Storage Company: Dell Technologies Role Overview You will architect and lead the development of advanced storage architectures focusing on data path technologies across Dell s storage portfolio. This senior technical role involves innovation in AI-driven infrastructure, storage protocols, and system integration, collaborating closely with product teams, management, and external partners to deliver cutting-edge solutions. Key Responsibilities Present innovative storage technology ideas to executive leadership. Architect detailed product designs including functionality, performance, integration, and hardware needs. Lead prototyping, testing, and validation efforts focusing on scalability and performance. Collaborate cross-functionally to build POCs and MVPs ensuring seamless integration of technologies. Mentor and uplift junior engineers and peers, encouraging innovative thinking and solutions. Essential Requirements Experience: 15+ years with Bachelor s degree, OR 12+ years with Master s degree, OR 8+ years with PhD, OR equivalent experience Expertise in AI-driven operations, telemetry, data integration, and storage connectivity/protocols. Deep knowledge of: Filesystem data paths, object protocols, Linux kernel ecosystem. Storage & networking drivers and standards. Unstructured & structured data ecosystems and connectors. Drive technologies and hardware ecosystem (CPU, PCIe, networking, DPU, offload engines). Strong programming skills in Embedded C and Python on Linux OS. Active contributions to open-source or tech communities, plus demonstrated leadership in mentoring. Desirable Qualifications Advanced certifications or publications in Storage Software, AI, Deep Learning, or related fields. Proven track record of leading impactful, innovative projects. Ongoing engagement with open-source projects or technical communities. Join a team pushing boundaries in storage and AI infrastructure, shaping the future of data management with innovative technologies. Collaborate with industry experts and enjoy growth opportunities while making a meaningful impact.

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

Senior Data Engineer Location: Bengaluru, India Employment Type: Full-time, On-site About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by leading Silicon Valley venture capitalists and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform delivers service predictions in seconds by analyzing structured and unstructured data, alongside insights from top experts. We specialize in complex service environments like high-tech devices, manufacturing, and medical devices, empowering service leaders to optimize key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you will be part of a dynamic, innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your chance to join a fast-growing startup and help redefine how AI impacts the future of service optimization. About the Role We are building a real-time analytics platform to improve uptime of connected devices and minimize maintenance costs. This involves collecting, analyzing, and leveraging large volumes of sensor data for observability and predictive analytics. As a Senior Data Engineer, you will have the opportunity to build and maintain scalable, high-performance data systems using modern data engineering tools. The ideal candidate will have hands-on experience with Python, Scala, ELT processes, Lakehouse architecture, Apache Spark, Databricks, real-time streaming systems like Kafka and Flink, and observability tools such as the ELK stack, Prometheus, and Grafana. What You ll Do: Data Model Development: Design and implement advanced data models to extract insights from complex datasets. Collaborative Problem Solving: Work with cross-functional teams to devise data-driven solutions for service optimization. Experimental Analysis: Conduct experiments and analyses to enhance service predictions and outcomes. Actionable Insights: Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts. Mentorship: Guide and mentor junior team members, fostering a collaborative and knowledge-sharing environment. What We re Looking For: Experience: At least 4 years of hands-on experience in data engineering, with a focus on building large-scale data systems. Data Pipeline Expertise: Strong proficiency in Python and Scala for developing data pipelines. Big Data Tools: Proven experience with Apache Spark and Databricks for big data processing and analytics. Observability Tools: Hands-on experience with observability tools like Prometheus, Grafana, and the ELK stack or OpenSearch. Real-Time Data Streaming: Experience working with real-time streaming systems such as Kafka and Flink. Cloud Platforms: Familiarity with cloud platforms like Azure, GCP, or AWS. Problem-Solving Skills: Strong analytical and problem-solving abilities to work with complex data systems in fast-paced environments. Collaboration: Excellent communication and teamwork skills, with the ability to work effectively with cross-functional teams. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to leverage advanced AI technology to enhance service decision-making and we are dedicated to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Flexible work arrangements work from home or from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about using data to drive service intelligence and want to be part of a forward-thinking team, we d love to hear from you!

Lead DevOps Engineer Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our platform enables enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of both structured and unstructured data. At Neuron7.ai, you will be part of a dynamic and innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your opportunity to make a meaningful impact on cutting-edge products at scale, in a fast-growing startup environment. About the Team Join a passionate team of professionals focused on optimizing our infrastructure, deployment processes, and overall system performance. We foster a culture of continuous improvement, where every team member is encouraged to contribute ideas and drive impactful projects. As a Lead DevOps Engineer, you will play a pivotal role in shaping the evolution of our infrastructure and operational efficiency. What You ll Do: CI/CD Pipelines: Lead the design, implementation, and management of CI/CD pipelines to automate and streamline deployment processes. Collaboration: Work closely with software development and IT teams to enhance workflows and ensure efficient release cycles. System Monitoring: Monitor and troubleshoot system performance to ensure high availability and reliability of applications across environments. Cloud Infrastructure: Architect and manage cloud infrastructure (AWS, Azure, GCP) for scalable, secure, and performant application environments. Automation: Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies. Security & Compliance: Conduct regular system audits, implement security best practices, and ensure compliance with industry standards. Mentorship: Mentor and guide junior DevOps engineers, fostering a collaborative, knowledge-sharing, and growth-focused environment. Documentation: Document processes, configurations, and standard operating procedures to enhance team efficiency and maintain operational excellence. What We re Looking For: Experience: 8+ years of experience in DevOps engineering or a related field. Cloud Expertise: Extensive knowledge and hands-on experience with cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, Lambda, etc.). Containerization: Strong experience with containerization technologies such as Docker and Kubernetes for managing microservices. Automation Skills: Proficiency in scripting languages (Python, Bash, Ruby) for automation tasks and infrastructure-as-code management. Monitoring & Logging: Familiarity with monitoring and logging tools such as Prometheus, Grafana, and the ELK stack. Problem-Solving: Excellent problem-solving skills with a proactive, solutions-oriented mindset for resolving operational challenges. Collaboration: Strong communication skills with the ability to work collaboratively across teams and influence operational best practices. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to use advanced AI technology to improve service decision-making and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with flexible work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about optimizing deployment processes, improving infrastructure, and driving operational excellence, we d love to hear from you!

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Data Scientist Lead - L1 Requisition ID: 64997 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Role Purpose: The purpose of this role is to define, architect, and lead the delivery of machine learning and AI solutions. Key Responsibilities: Demand generation through support in Solution development Support Go-To-Market strategy. Collaborate with sales, pre-sales & consulting teams to assist in creating solutions and propositions for proactive demand generation. Contribute to the development of solutions, proof of concepts aligned to key offerings to enable solution-led sales. Collaborate with different colleges and institutes for recruitment, joint research initiatives, and provide data science courses. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions Develop Machine Learning / Deep Learning models for decision augmentation or for automation solutions. Collaborate with ML Engineers, Data Engineers, and IT to evaluate ML deployment options. Integrate model performance management tools into the current business infrastructure. Team Management Resourcing: Support recruitment process to onboard the right resources for the team. Talent Management: Support onboarding and training for team members to enhance capability & effectiveness. Manage team attrition. Performance Management: Conduct timely performance reviews and provide constructive feedback to direct reports. Be a role model to the team for the five habits. Ensure that the Performance Nxt process is followed for the entire team. Employee Satisfaction and Engagement: Lead and drive engagement initiatives for the team. Performance Parameters: No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: AI Cognitive Experience: 5-8 Years About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome.

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Digital - Technology Specialist - Azure & AI Location: Bangalore, Karnataka, India Employment Type: Full-Time About the Role At Microsoft, the Small Medium Enterprises and Channel (SME&C) team is at the forefront of driving AI-powered global sales. We are empowering businesses of all sizes through the transformative power of Microsoft technologies. In this dynamic role, you will engage directly with customers and partners, leveraging your expertise in Azure and AI technologies to scale solutions and drive business outcomes. SME&C is more than a sales organization it s a vibrant, innovative community. By joining us, you ll be part of a high-growth, customer-obsessed team dedicated to redefining how businesses adopt technology for growth and innovation. Key Responsibilities Scale Customer Engagements: Work with customer technical decision-makers to anticipate needs, gather data, and drive technical discussions that lead to successful outcomes for Azure & AI technologies. Engage Through Partners: Collaborate with partners and internal resources to facilitate technical engagements and overcome blockers. Build Strategy: Contribute to strategy development by sharing competitive insights and feedback from customer sessions, shaping how Microsoft solutions can drive customer success. Solution Design and Proof: Demonstrate and apply Microsoft solutions to customer challenges through architectural design sessions (ADS), proof of concept (POC), and solution demonstrations. Technical Leadership: Build your domain knowledge, conduct training, and act as a mentor within the community to grow technical expertise and enhance customer engagements. Qualifications Required/Minimum Qualifications: 3+ years of technical pre-sales or technical consulting experience, OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field with 4+ years of technical experience. Relevant certifications in Microsoft or competitive platforms, such as Microsoft Office 365, Power BI, Azure, or Cloud Platform Technologies. Additional or Preferred Qualifications: 7+ years of experience in technical pre-sales, technical consulting, or related fields. 4+ years of hands-on experience with cloud, hybrid, or on-premises infrastructure, architecture designs, migrations, and industry standards. Expertise in Azure and AI technologies with a strong ability to craft and deliver customized solutions to customers. Join us in a collaborative, fast-paced, and digital-first environment where your contributions will have a direct impact on the success of businesses globally. At Microsoft, we foster a culture of inclusion, continuous learning, and innovation. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to learning and development resources Employee discounts and savings programs Maternity and paternity leave Global networking and community engagement opportunities Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability status, or any other characteristic protected by law. Qualification : Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field with 4+ years of technical experience.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Job Title: Pre-Sales Technical Project Manager Digital Transformation Location: Bangalore Experience: 12 18 Years Employment Type: Full-Time Job Overview We are looking for a highly experienced Pre-Sales Technical Project Manager to spearhead proposal efforts, drive solution architecture, and deliver impactful demos for Digital Transformation projects. With 12-18 years of experience in the industry, you will play a pivotal role in understanding client challenges and aligning innovative technology solutions that drive business value. This role requires expertise in modern technologies such as APIs, microservices, databases, DevOps, and AI-driven solutions, along with a proven ability to lead cross-functional teams from concept to contract. You will collaborate closely with Sales, Solution Architects, and Delivery teams to develop strategic, cost-effective solutions that meet complex client needs. If you have a passion for transforming technical concepts into business outcomes and communicating those effectively to a wide range of stakeholders, this is the role for you. Key Responsibilities RFI/RFP Management Lead the development of RFI/RFP responses, crafting solutions that highlight the company's strengths and address client requirements. Ensure all responses are tailored, comprehensive, and demonstrate how our solutions meet client needs. Solution Architecture & Design Collaborate with internal teams to design and document Digital Transformation solutions that incorporate modern technologies like APIs, microservices, databases, DevOps pipelines, and AI. Architect solutions from both a strategic and detailed design perspective, ensuring scalability and alignment with client objectives. Technical Demos & Client Presentations Deliver engaging and informative product/solution demos during pre-sales meetings, clearly articulating technical feasibility and business impact. Customize presentations based on the specific needs and challenges of each client or industry sector. Pricing & Financial Modeling Create and validate pricing models, conducting cost-margin analysis and forecasting the potential ROI for proposed solutions. Present financial insights that align with both the client's business objectives and organizational goals. Risk Identification & Transition Management Identify risks related to solution implementation or transition and work closely with delivery teams to define and execute mitigation strategies. Establish governance frameworks to ensure smooth project transitions and minimize operational disruption. Contractual & Compliance Collaboration Collaborate with Legal, Risk & Compliance, IT Infrastructure, Operations, and Finance teams to ensure alignment on contractual documents such as NDAs, MSAs, SOWs, and LOEs. Ensure solutions adhere to relevant standards, regulations, and compliance requirements. Cross-Functional Collaboration Work closely with internal teams to gather both business and technical requirements, ensuring that all aspects of the solution are comprehensively addressed. Foster strong relationships across Sales, Delivery, and senior leadership to ensure smooth pre-sales collaboration and execution. Knowledge Management & Asset Development Maintain a repository of proposals, case studies, demos, and pre-sales templates. Continuously update and refine assets to improve efficiency and effectiveness in future proposal cycles. Required Skills & Experience Experience 12-18 years of experience in Digital Transformation initiatives, with at least 7-10 years in pre-sales or solutioning roles within IT services or consulting. Technical Expertise Strong knowledge of modern technologies, including APIs, microservices, databases, DevOps (CI/CD, containerization, orchestration), and AI/ML. Proven experience in architecting complex solutions from a high-level strategy and detailed design perspective. Financial & Analytical Expertise Demonstrated experience in building and validating pricing models. Strong capability in cost-margin analysis and ROI forecasting. Contractual & Compliance Knowledge Familiarity with legal and compliance documentation, such as NDAs, MSAs, SOWs, and LOEs. Proven ability to work effectively with legal and compliance teams. Communication & Leadership Exceptional verbal and written communication skills, with the ability to present complex technical information to diverse audiences. Strong leadership capabilities, with experience guiding cross-functional teams and driving consensus in challenging situations. Tool Proficiency Proficiency with tools such as ChatGPT, Microsoft Excel, financial modeling platforms, and proposal documentation tools. Preferred Qualifications Education Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Certifications Cloud certifications (AWS, Azure, GCP), PMP, TOGAF, ITIL, or Agile/Scrum certifications. Industry & Global Exposure Prior experience working with international clients and delivering complex, enterprise-level Digital Transformation initiatives. Background in consulting or IT services with a track record of successful multi-regional engagements. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With Vector is Bain s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients. As part of AIS, the India-based Center of Excellence (COE) specializes in delivering Generative AI (Gen AI) and advanced engineering solutions for our clients globally. The COE will also lead the charge on building solution accelerators for our clients. What You ll Do As a Manager, AIS Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering lifecycle while collaborating with remote and distributed teams, including both technical and consulting teams across the globe. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge software engineering solutions and infrastructure at the production scale required by the world s largest companies. Collaboration: Work closely with colleagues in the AIS COE (e.g., data scientists, ML engineers, software engineers, platform engineers) to build software solutions that solve clients business problems. Technical Leadership: Serve as the overall technical leader, providing deep expertise in software engineering, distributed systems, AI, and application architecture design. Lead the development and delivery of end-to-end solutions for client cases. Development Lifecycle: Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, and identifying issues and resolutions. Framework Development: Collaborate on (or lead) the development of re-usable common frameworks, models, and components to address common software engineering problems across industries and business functions. Best Practices & Innovation: Drive best practices in software engineering and share learnings with team members in AIS. Promote industry-leading innovations to create significant client impact. Team Management: Contribute to creating a great working environment that attracts talented engineers. Act as a PD Advisor as needed and support recruiting and onboarding new team members. Travel Requirements: Minimum travel, based on project needs and training opportunities. About You Education & Experience: Bachelors/Master s degree in Computer Science, Engineering, or a related technical field. 8+ years of hands-on experience in web development, programming languages, version control, software design patterns, infrastructure, deployment, integration, and unit testing. 3+ years of experience managing software engineers. A proven track record of leading a team and collaborating on strategic initiatives, with experience in shipping production applications and software analytics products. Technical Expertise: Expert knowledge (5+ years) of Python. Deep experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask. Familiarity with cloud platforms like AWS, Azure, or GCP. Strong understanding of software architecture, DB design, scalability, and SQL, with experience in RDBMS (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra, Elasticsearch). Experience with client-side technologies such as React, Vue.js, HTML, and CSS. Familiarity with DevSecOps principles, CI/CD tools, MLOps, LLMOps, and infrastructure as code (Jenkins, Docker, Kubernetes, Terraform). Knowledge of software security, privacy regulations, and cybersecurity. Soft Skills: Strong interpersonal and communication skills, including the ability to explain technical concepts to colleagues and clients from other disciplines. Curiosity, proactivity, and critical thinking. Ability to collaborate effectively with people at all levels and with multi-office/region teams. Ability to work independently, manage multiple priorities, and thrive in a fast-paced and ambiguous environment. About Us Bain & Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performa...