Langchain Jobs in Bengaluru

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

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

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

Artificial Intelligence Engineer Experience: 3 - 8 Years Location: Bangalore (Work from Office) Job Overview We are seeking a talented and experienced Artificial Intelligence Engineer to join our dynamic team. You will be responsible for designing, training, and deploying advanced AI and machine learning models to solve complex business problems. The ideal candidate will have strong expertise in Python, deep learning frameworks, and handling large datasets, coupled with the ability to integrate AI solutions seamlessly into existing systems. Technical Skills Proficiency in programming languages such as Python, R, or Java. Strong experience with machine learning algorithms (regression, classification, clustering). Hands-on expertise with deep learning frameworks like TensorFlow and PyTorch. Skilled in data manipulation, cleaning, and preprocessing techniques. Experience integrating AI models into existing applications and systems. Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment. Preferred Skills Proficiency in Python with NLP libraries such as OpenAI s GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning methodologies. Experience with Retrieval-Augmented Generation (RAG) to enhance AI responses. Ability to develop and host APIs (preferably on IIS). Basic understanding of SQL and expertise in training, tuning, and deploying models leveraging SQL databases. Benefits Flexible working hours Learning and development opportunities Medical and insurance benefits Company Core Values Positive attitude and collaborative approach to achieving team goals. Clear and respectful communication skills (verbal and written). Emphasis on teamwork over individualism it s all about the we , not the me **. Growth mindset with a commitment to continuous learning and skill improvement. About In4Velocity Since 2004, In4Velocity has been a trusted partner for real estate, construction, and infrastructure companies, helping streamline their operations through innovative technology. Our flagship product, In4Suite , provides a comprehensive, unified ecosystem connecting all aspects of real estate organizations for a full 360-degree view. Supported by a powerful Business Intelligence system and unparalleled global support, our product is the go-to platform for digital transformation in real estate development and construction management worldwide. Join us to be part of a pioneering force driving innovation and progress in the real estate domain.

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.

Senior Frontend Engineer Atlas AI Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader innovating with AI and data to solve industrial challenges. Our products like Cognite Atlas AI and Cognite Data Fusion (CDF) enable transformational digitalization for Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy sectors. Award-winning and recognized globally, we are shaping the future of industrial operations. About Atlas AI Atlas AI aims to revolutionize manufacturing and energy operations by building an advanced framework of industrial AI agents. This initiative leverages Cognite Data Fusion s industrial data expertise and targets collaboration with industry leaders and strategic partners to drive impactful AI innovation. Your Role Join our co-innovation team as a Senior Frontend Engineer focused on building next-gen AI-driven industrial agent applications. Architect and develop modern, responsive web applications with React and TypeScript. Build full-stack generative AI solutions, focusing on AI agents and multi-agent systems powered by large language models integrated via Cognite Data Fusion. Collaborate with architects, data engineers, and domain experts to create scalable AI agent solutions. Implement software development best practices including Git workflows, CI/CD, and robust testing. Work directly with customers and stakeholders to co-innovate and align solutions with real business needs. Contribute to product strategy and technical decision-making. Your Experience & Skills 5+ years in product software engineering, ideally with a focus on Generative AI/ML applications. Strong frontend skills: React, TypeScript, JavaScript; full-stack experience including Python. Experience with multi-agent systems development, preferably using frameworks like LangChain. Knowledge of knowledge graphs and related tech (GraphQL, Neo4j). Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Experience with REST APIs, debugging tools, and software lifecycle best practices. Comfortable working with data formats (CSV, JSON, SQL) and databases like SQLite or SQL databases. Strong problem-solving, communication, and collaboration skills. Work in a vibrant, inclusive environment with 70+ nationalities and a strong DEI focus. Hybrid work mode from a modern office in Bengaluru with a culture that fosters impact and ownership. Direct access to decision-makers with minimal bureaucracy. Collaborate with top-tier talent on ambitious AI and industrial digital transformation projects. Engage actively in the Cognite community through HUB events and partnerships. Make an Impact Join Cognite to drive the future of industrial AI, creating innovative tools that empower industries worldwide. We welcome diverse candidates passionate about AI and frontend engineering.

GenAI Engineer Location: Bangalore, India About the Team Rubrik s IT team is at the forefront of AI-powered transformation, focused on building intelligent automation and scalable data solutions to support the company s mission. As part of the newly established IT AI team, you ll help develop AI agents and workflows to unlock the full potential of generative AI in data engineering. About the Role We re seeking a GenAI Engineer to join our Data Engineering team, specializing in the development and deployment of AI agents and workflows powered by large language models (LLMs). You ll be responsible for integrating data sources, developing MCP clients/servers, and collaborating with cross-functional teams to drive GenAI adoption across the organization. Key Responsibilities Design and implement data integrations using MCP protocols or traditional data extraction methods Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving) Ensure high standards of data quality, integrity, and scalability for both structured and unstructured AI workloads Collaborate with business, data engineering, and application development teams to create AI-enabled products Integrate pipelines into existing infrastructure for seamless data flow and analytics Support high-quality data products tailored for AI and machine learning workflows Required Experience 1+ years building AI Agents or working with platforms like Snowflake Cortex, Gemini Agentspace, or similar open-source frameworks 3+ years in data engineering with a focus on AI/ML workloads 5+ years in data analytics using Snowflake or Databricks Strong programming skills in Python, Java, or Scala Familiarity with data storage, APIs, and cloud configurations Experience with data governance and scalable system design Solid understanding of LLMs, transformers, and frameworks such as LangChain Strong analytical and problem-solving skills in a dynamic environment Preferred Qualifications Proven experience building AI Agents and agentic workflows Understanding of MCP and Agent2Agent protocols Knowledge of generative model architectures and applications in data engineering Familiarity with data security and governance best practices in GenAI Experience with Agile methodologies and tools such as Jira and GitHub Join Us in Securing the World s Data Rubrik (NYSE: RBRK) is committed to delivering Zero Trust Data Security. Our ML-powered platform protects data across enterprise, cloud, and SaaS applications, helping organizations stay resilient against cyberattacks and disruptions.

GenAI Engineer Location: Bangalore, India Office About the Team Rubrik's IT team is driving AI-powered transformation to enable smarter automation and scalable data solutions that protect and empower the company's mission. As part of the newly formed IT AI team, you'll be instrumental in developing AI agents and workflows to unlock the potential of generative AI in data engineering. About the Role We are seeking an experienced GenAI Engineer to join our Data Engineering team, focusing on building and deploying AI agents and workflows powered by large language models (LLMs). You will integrate data sources and develop MCP clients/servers to support LLM-based bots, collaborating closely with data scientists, engineers, and business teams to enhance GenAI adoption and deliver advanced data solutions. Key Responsibilities Design and develop data integrations using MCP protocols or traditional extraction methods. Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving). Ensure data quality, integrity, and scalability for AI workloads involving both structured and unstructured data. Collaborate with business teams, data engineers, and application developers to create products that streamline processes and drive growth. Integrate data pipelines with existing infrastructure to enable seamless data flow and analytics. Support the data engineering team in producing high-quality data products for AI workloads. Experience You'll Need 1+ year of experience building AI agents or using Snowflake Cortex, Gemini Agentspace, or similar open-source tools. 3+ years of experience in data engineering focused on AI/ML workloads. 5+ years of experience in data analytics with Snowflake or Databricks platforms. Strong programming skills in Python, Java, or Scala. Familiarity with data storage solutions (Snowflake, Databricks) and APIs. Experience with cloud configuration and data governance. Knowledge of large language models (transformers) and frameworks like LangChain. Strong problem-solving skills and ability to thrive in a fast-paced environment. Preferred Qualifications Experience building AI agents and agentic workflows. Knowledge of MCP and Agent2Agent protocols. Understanding of generative models and their applications in data engineering. Familiarity with data governance and security best practices for GenAI workloads. Experience with Agile methodologies and collaboration tools like Jira and GitHub. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is dedicated to securing the world's data with Zero Trust Data Security.Our platform, powered by machine learning, protects data across enterprise, cloud, and SaaS applications, helping businesses stay resilient against cyberattacks and operational disruptions.

Private Markets Data Extraction, Aladdin Data Director Location: Bengaluru, Karnataka Team: Data Science Company: BlackRock About the Role We are seeking a tech-savvy leader to head our Private Markets Data Extraction team within the Aladdin Data group. This role involves driving the strategic direction of data initiatives by leveraging cutting-edge technologies like Large Language Models, AI Orchestration Frameworks (e.g., LangChain), Spring, GIT/ADO, Solr, Cassandra, and more. You will work closely with Data, Product, and Technology teams to ensure our data products exceed client expectations in quality and scope, while gaining deep exposure to finance domains such as risk management, valuations, and operations. What You ll Do Develop strategies for automated extraction of data from semi-structured and unstructured sources (e.g., regulatory documents) to build scalable, reusable pipelines. Architect and build extensible data ingestion and extraction platforms accessible to internal teams and customers. Own technical architecture, design principles, and application governance. Manage diverse, global teams of engineers, data scientists, and other tech professionals. Collaborate with cross-office and international teams. Provide expert technical guidance on software design and implementation. Mentor and support career growth for junior team members. What You Need B.S. / M.S. in Computer Science, Engineering, or related field. 12+ years of professional experience with proven leadership. Strong ability to communicate technical strategies clearly. Hands-on experience with Java and Python, object-oriented programming. Experience designing/building APIs and microservices. Expertise with open-source technologies: Spring/SpringBoot, Apache Solr, Protocol Buffers, LangChain, Docker. Experience with relational and NoSQL databases (e.g., Apache Cassandra). Agile team experience with strong problem-solving and rapid learning capabilities. Excellent interpersonal, communication, and presentation skills. Experience mentoring junior engineers. Good to Have Cloud-native development experience (Kubernetes, Docker) and Microsoft Azure. Familiarity with Apache Kafka or other pub-sub frameworks. Experience with Large Language Models (OpenAI LLMs), AI app frameworks, vector databases, NLP. Finance and financial services domain expertise. Benefits & Work Model Comprehensive benefits including retirement plans, tuition reimbursement, healthcare, family support, and Flexible Time Off (FTO). Hybrid work: typically 4 days in-office, 1 day remote with some flexibility depending on business needs. Collaborative culture fostering learning and innovation. About BlackRock BlackRock s mission is to help more people experience financial well-being globally. We invest in our employees to create a welcoming, valued, and supportive environment that encourages growth and impact. Qualification : B.S. / M.S. in Computer Science, Engineering, or related field.

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: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent 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. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." - George Kurian, CEO Job Summary We are looking for a Software Engineer to join our Performance Engineering Infrastructure team. We work on developing tools and automation frameworks that make ONTAP the most performant storage operating system. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing frameworks that help build performance models and performance benchmarks to measure, analyze, visualize, and improve ONTAP performance. You will work on developing new and/or enhancing existing tools focused on performance aspects of the ONTAP software stack. This is a great opportunity to solve challenging, complex problems with immediate applications in a high-growth sector of the tech industry. If you like creative problem-solving, are willing to constantly learn new technologies, and have a getting things done attitude, you may be just the person we re looking for! Job Requirements Proficient in Python and Python-based web frameworks. Knowledge of other scripting languages like Perl, Shell, and Expect is a plus. Experience in building/supporting automation frameworks (generally Python-based) and tools to measure and improve performance of complex software stacks. Demonstrated ability to learn new software stacks and be able to quickly prototype ideas. Experience with GenAI, AI/ML frameworks, and tools such as TensorFlow, PyTorch, LangChain, etc. will be a very strong advantage. Experience in big data technologies like Spark, Hadoop, and distributed storage systems for handling large-scale datasets will be a plus. Basic understanding of orchestration frameworks like Kubernetes and containerization technologies like Docker will be a plus. Knowledge of data storage systems and file systems will be a plus. Ability and willingness to adapt to a rapidly changing work environment and willingness to take on additional tasks and responsibilities. Education 5 or more years of related experience. A Bachelor of Science degree in Computer Science Engineering, a Master s Degree, or a PhD. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. Qualification : A Bachelor of Science degree in Computer Science Engineering, a Masters Degree, or a PhD.

About NetApp NetApp is the intelligent data infrastructure company, turning disruption into opportunity for every customer. We help customers unlock new business possibilities, no matter the data type, workload, or environment. At NetApp, it all starts with our people. We embrace diversity and openness because it's part of our DNA. Collaboration is at the core of what we do asking for help, partnering across teams, and driving innovation together. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce that fosters belonging and high performance." George Kurian, CEO Job Summary As a Senior Software Engineer on the AI Data Platform team, you will be involved in the design and development of the AI Data Platform, built on NetApp s flagship ONTAP storage operating system the #1 Storage Operating System in the world, trusted by over 30,000 customers and managing hundreds of exabytes of data. Join us in transforming how data shapes the world. Your work will support cutting-edge technologies that enable life-saving medical analytics, improve autonomous vehicle navigation, monitor environmental hazards, and unlock new possibilities for businesses globally. An ideal candidate is results-driven, curious, creative, and collaborative, with broad experience in Big Data processing, AI/ML workflows, MLOps, Kubernetes, and distributed systems. Job Responsibilities Design, develop, and support AI Data Platform components built on NetApp ONTAP. Build and maintain microservices and REST APIs for scalable, reliable solutions. Work closely with cross-functional teams to solve complex, data-intensive problems and deliver innovative solutions. Participate in technical discussions and contribute to system design, architecture, and best practices. Support and collaborate with other engineers to ensure seamless development, testing, and deployment processes. Stay current with emerging technologies, continuously improving your skill set and applying new concepts to ongoing projects. Required Skills Programming Languages: Proficiency in Go and Python. AI/ML Experience: Familiarity with PyTorch, TensorFlow, Keras, OpenAI frameworks, LLMs (Open Source), LangChain. Cloud & Kubernetes: Hands-on experience with Linux, Kubernetes control plane, auto-scaling, orchestration, and containerization in AWS/Azure/GCP environments. Big Data Technologies: Experience with platforms like Spark, Hadoop, and distributed storage systems for large-scale data processing. NoSQL Databases: Proficiency in MongoDB, Cassandra, Cosmos DB, and DocumentDB. Microservices Architecture: Proven experience building microservices and developing REST APIs and related frameworks. Preferred Skills Experience in the storage domain or with distributed file systems, networking, or file/cloud protocols. Familiarity with MLOps practices and workflows. Proven experience leading mid- to large-sized projects and collaborating across teams. Strong understanding of computer architecture, data structures, and programming best practices. Education and Experience Bachelor s degree with 12+ years of experience, Master s degree with 12 years, or PhD with 10 years of experience. Equivalent experience is also considered. Work Environment NetApp offers a hybrid work environment to enhance connection, collaboration, and culture. In-office expectations will be discussed during the recruitment process. Equal Opportunity Employer NetApp is an Equal Employment Opportunity (EEO) employer, committed to providing a workplace free of discrimination. We do not discriminate based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability, genetic information, pregnancy, or any protected classification. A Note to Applicants Research shows that women often apply only if they meet 100% of the qualifications but no one is ever 100% qualified. If this role excites you, we encourage you to apply anyway! Qualification : Bachelors degree with 12+ years of experience, Masters degree with 12 years, or PhD with 10 years of experience. Equivalent experience is also considered.