AI Scalability Jobs in Hyderabad

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Job Title: Presales Solution Architect Location: Hyderabad, India About Us Kanerika At Kanerika Inc., we are a globally recognized software products and services company dedicated to enabling data-driven digital transformation. Co-founded by a Wharton alumnus, our mission is to help enterprises unlock business value through the smart use of data, cutting-edge technologies, and scalable solution architectures. Recognized by Great Place to Work , RPA Today, and Frost & Sullivan, Kanerika is a growing organization that values innovation, inclusivity, and impact. With ISO 27701, SOC2, and GDPR compliance, we re also committed to the highest standards of data privacy and security. Role Overview We are seeking an experienced Presales Solution Architect to join our team. This role is crucial in driving successful sales engagements by combining technical acumen with business insight. You will collaborate closely with sales and technical teams to understand client needs, design optimal solutions, and develop winning proposals. This role demands a strategic thinker with strong communication skills, the ability to simplify complex concepts, and a deep understanding of data architecture, cloud platforms, and presales processes. What You ll Do Solution Architecture & Design Design scalable, secure, and robust solution architectures for enterprise clients. Develop cloud-native, hybrid, and on-premises data architectures using platforms like Azure, AWS, or GCP. Evaluate and recommend the right mix of technologies and services (e.g., Azure Data Factory, Azure Synapse, Power BI, Fabric, etc.). Design conceptual/logical/physical data models and implement data governance practices including data lineage and access control. Create efficient and scalable ETL/ELT pipelines to support analytics and AI-driven outcomes. Presales & Client Engagement Translate business requirements into compelling technical proposals and presentations. Support the sales cycle by responding to RFPs/RFIs, delivering solution walkthroughs, and addressing client queries. Present solutions to technical and business stakeholders, demonstrating clear business value and ROI. Collaborate with cross-functional teams including product, sales, and delivery to co-create winning bids. Thought Leadership & Process Excellence Continuously explore innovations in data analytics and AI to strengthen Kanerika's solution offerings. Mentor internal teams on solution best practices and quality-first development approaches. Ensure alignment of proposed solutions with client goals, business context, and industry trends. What You ll Bring 10+ years of experience in data analytics, AI technologies, and solution architecture. Proven experience in presales or solution design roles with strong exposure to client interactions. Bachelor s degree in Engineering/Technology or MCA from a reputed institution. Certifications in data engineering, cloud (Azure/AWS/GCP), or analytics are a strong plus. Strong understanding of enterprise data architecture and hands-on experience with Azure services. Familiarity with integration of APIs, real-time messaging systems, and scalable application frameworks. Soft Skills Excellent verbal and written communication and presentation skills. Strong interpersonal and collaboration abilities. High emotional intelligence (EQ) and adaptability under pressure. Self-driven, responsible, and capable of working independently with minimal supervision. Strong time management, multi-tasking, and organizational skills. Employee Benefits Culture & Work Environment Open Door Policy for transparent communication. Flexible Working Hours & Open Office Layout. Employee Referral Bonus Program. Biannual Performance Appraisal Process. Inclusivity & Wellness Diversity-focused hiring and Mandatory POSH Training. Comprehensive Health Insurance, Term Insurance & Disability Cover. Family Support & Leave Generous Parental & Family Medical Leave. Company-sponsored Family Events. Time-Off & Perks Generous Paid Time Off (PTO), Sick Days, and Paid Holidays. Bereavement Leave, Gratuity & Provident Fund Contributions. Regular Team Outings and Engagement Activities. Learning & Development Access to FLEX Enterprise Learning Repository. Mentorship & Internal Promotion Opportunities. Professional Certification Reimbursements. Job-specific Training & Upskilling Programs. Join a company where innovation meets impact. Be part of a collaborative and growth-oriented environment where your contributions are recognized, your ideas matter, and your career thrives. Qualification : Bachelors degree in Engineering/Technology or MCA from a reputed institution

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Job Opening: Solutions Architect Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we enable over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences, and employee productivity. Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation. Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, the UK, Germany, Korea, and Japan. About the Role The Solutions Architect will play a key role in translating business requirements into technical specifications and designing cutting-edge solutions to meet customer needs. The role involves creating detailed design documents, defining implementation strategies, and collaborating with teams to develop high-quality, scalable applications. As a leader, you will work closely with clients to propose technical solutions that resolve business issues while driving the overall architecture and technical direction. What You'll Do Design & Architecture: Prepare detailed design documents and approaches using various tools. Define implementation approaches, algorithms, and code structure to meet requirements. Technical Leadership: Lead the analysis, design, and implementation planning of technical/business solutions. Take a cross-team leadership role to ensure the solution aligns with business objectives. Customer Interaction: Interface with customers to understand their technical environments and propose technical solutions to resolve business challenges. Technology Selection: Stay up to date with the latest technologies and tools, evaluating and selecting appropriate technologies as per project requirements. System Integration: Identify interfaces with other products and ensure seamless integration. Work on scaling and optimizing the performance of large systems and web applications. Development & Implementation: Define and create SOAP & RESTful web services. Work on reporting & analytics, and consumer/employee-facing business applications. Qualifications & Experience Experience: 10+ years of overall technical experience with a minimum of 3 years as a Technical Solution Architect. Technical Skills: Experience in OOPS, Multi-threading, JavaScript, jQuery, Node.js, HTML5, CSS3, and user authentication/authorization models. System Design & Architecture: Experience in defining technical solutions, creating technical specifications, and working on large-scale systems and web applications. Experience in API Development: Expertise in SOAP & RESTful web services, along with experience in system integration and reporting & analytics. Nice to Have: Experience in Smartbot development and integrating with NLP engines, and familiarity with AI frameworks and technologies. Education Qualification Graduate in Engineering or Master's in Computer Applications (MCA) preferred. Be a part of a global leader in AI technology, driving transformation in enterprise operations and customer experiences. Work in an innovative environment with cutting-edge technologies, where you ll lead technical solutions that impact global businesses. Collaborate with a talented team and contribute to building scalable, impactful AI applications that are transforming industries. Kore.ai, founded in 2014 by serial entrepreneur Raj Koneru, is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. Our diverse and talented team of professionals is committed to driving the future of enterprise AI solutions. We ve earned recognition from top analysts like Gartner, Forrester, and IDC, making us a leader in the AI space. Qualification : Graduate in Engineering or Master's in Computer Applications (MCA) preferred.

Introduction In this role, you'll be part of one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients globally. Our centers provide locally-based skills and technical expertise to drive innovation and the adoption of new technologies. A career at IBM Consulting involves building long-term relationships and collaborating closely with clients across industries. You'll work alongside visionaries to help them on their hybrid cloud and AI journeys, enhancing the value and impact of some of the most innovative companies in the world. With access to IBM s strategic partner ecosystem and cutting-edge technology platforms, including IBM Software and Red Hat, you will be empowered to accelerate client transformations and create meaningful change. Curiosity and a constant quest for knowledge serve as the foundation for success at IBM. In your role, you'll be encouraged to challenge the status quo, explore ideas beyond your current role, and come up with creative solutions that will make a significant impact across a wide network of clients. Our culture of evolution and empathy is centered on long-term career growth and development opportunities in an environment that celebrates your unique skills and experience. Your Role and Responsibilities As a Data Engineer at IBM, you will be a critical player in designing and developing applications, while also providing guidance to project teams on complex coding, troubleshooting, and execution. Your key responsibilities include: Solution Design and Construction: Lead the design and construction of new data solutions using the latest technologies, ensuring business value and meeting user requirements. Continuous Improvement: Advocate for continuous improvement by testing solutions and working within an Agile framework to enhance and iterate the developed solutions. Innovation: Stay current with the latest technology trends, discovering and implementing creative solutions to solve business problems. Collaboration: Work with diverse teams to deliver impactful data solutions while ensuring scalability, quality, and performance. Required Education Bachelor s Degree in a relevant field Required Technical and Professional Expertise Apache Spark (PySpark): In-depth knowledge of Spark s architecture, core APIs, and using PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Proficiency in Python: Expertise in Python programming, particularly focused on data processing and manipulation. Data Processing Frameworks: Experience with Pandas, NumPy, and other data processing libraries. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or GCP, including working with cloud storage systems. Preferred Technical and Professional Experience Architecture Strategy: Experience in defining, driving, and implementing architecture strategies and standards for end-to-end monitoring of data solutions. Cross-Team Collaboration: Partnering with technology teams, including application development, enterprise architecture, testing services, and network engineering. Security: Familiarity with detection and prevention tools for company products and customer-facing platforms. How You ll Grow At IBM, we offer opportunities for career development and provide an environment where you are encouraged to continuously grow, learn, and expand your expertise. Working with cutting-edge technologies and a diverse set of clients, you will be able to stay ahead of industry trends and make meaningful contributions that have a real impact. About IBM Consulting IBM Consulting helps organizations tackle their most pressing challenges through innovative and agile solutions. By partnering with clients, we drive technology transformations, helping them optimize their operations and leverage new technologies like AI, cloud, and data. Our team s expertise spans across many industries, delivering solutions that enable clients to navigate digital transformations. This role offers an exciting opportunity to work with leading technologies while contributing to client success in a highly dynamic environment. If you re passionate about solving complex data problems and delivering impactful solutions, IBM Consulting is the place to grow your career. Qualification : Bachelors Degree in a relevant field

Job Role: DevSecOps Lead We are seeking an experienced and forward-thinking DevSecOps Lead to drive the development and implementation of processes that handle the entire lifecycle of vulnerabilities and streamline them for the operations team. The ideal candidate will possess in-depth expertise in SonarQube, Nexus IQ, Deep Factor, Jenkins Pipelines, and Kubernetes, with a strong focus on security, automation, and continuous integration/continuous delivery (CI/CD) practices. Requirement: Lead Vulnerability Lifecycle Management: Design and implement processes to identify, track, prioritize, and remediate vulnerabilities, ensuring efficient handover to the operations team. Security Tool Integration: Utilize and manage security tools such as SonarQube, Nexus IQ, and Deep Factor to continuously monitor and assess application security risks. Pipeline Automation: Build and manage Jenkins Pipelines for automating security checks, vulnerability scans, and code quality assessments. Kubernetes Deployment and Support: Oversee the deployment and support of SonarQube and Deep Factor within Kubernetes environments to ensure scalability, reliability, and security. Collaboration & Leadership: Collaborate closely with development, operations, and security teams to embed security practices across the CI/CD pipeline. Continuous Improvement: Proactively identify areas of improvement, recommending and implementing changes to enhance the security posture of the organization. Qualifications: Proven experience in DevSecOps with a strong focus on security tools and vulnerability management. Hands-on experience with SonarQube, Nexus IQ, DeepFactor, and Jenkins Pipelines. Expertise in Kubernetes for deploying and managing security tools. Ability to think strategically and create processes that effectively manage vulnerabilities through their entire lifecycle. Strong understanding of CI/CD practices and security automation. Excellent communication and leadership skills to work across teams. Benefits: Competitive salary and benefits package Opportunity to work on cutting-edge AI projects with a real-world impact Be part of a dynamic and innovative team at the forefront of AI-driven BioPharma transformation Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.

Role Overview: We are looking for an experienced Senior Python Engineer with expertise in FastAPI and microservices architecture to join our dynamic team. In this role, you will lead the design, development, and deployment of scalable and resilient backend services. The ideal candidate will have a strong technical background in Python development, microservices architecture, and FastAPI, along with proven experience leading technical teams and ensuring high performance, security, and maintainability of applications. Key Responsibilities: Lead the design, development, and deployment of microservice-based applications, ensuring scalability and resilience. Develop and maintain FastAPI-based backend services with a focus on performance, security, and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, and API gateways. Ensure code quality, security, and performance optimization across the application stack. Work with containerization technologies like Docker and Kubernetes for seamless application deployment. Collaborate with cross-functional teams to define, design, and ship new features effectively and efficiently. Establish and manage CI/CD pipelines for seamless and automated application deployment. Implement best practices for API design, development, and security to ensure robust and reliable services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for proactive issue detection and resolution. Ensure adherence to version control systems (e.g., Git) and support collaborative workflows across teams. Qualifications: Proven experience in leading technical teams and developing scalable applications using microservices architecture. Proficiency in Python and FastAPI for building high-performance backend services. In-depth knowledge of Pydantic for data validation in FastAPI applications. Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) for managing deployment and scalability. Familiarity with CI/CD pipelines and automation tools to streamline application development. Strong expertise in API design and implementation best practices. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interactions with LLMs. Exposure to various prompt engineering techniques in different scenarios. At Blend, we are driven by the belief that AI and human expertise can combine to create meaningful, lasting impact. By joining our team, you ll have the opportunity to work on cutting-edge technologies, collaborate with brilliant minds, and contribute to innovative projects that shape the future.

Role Overview: We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will possess a strong technical background, proven leadership experience, and expertise in building scalable, resilient, and secure applications. In this role, you will lead the design, development, and deployment of backend services, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead design and development of applications using microservice architecture to ensure scalability, resilience, and high performance. Develop and maintain FastAPI-based backend services, optimizing for scalability and reliability. Implement best practices for logging, monitoring, health checks, and error handling to ensure robust service performance. Optimize code quality, security, and performance across the development lifecycle. Utilize containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and management. Collaborate with cross-functional teams to define, design, and implement new features that align with business objectives. Establish and manage CI/CD pipelines to automate deployment and ensure consistent, efficient delivery of software. Adhere to API design and development best practices, ensuring high-quality and secure services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for performance tracking and proactive issue resolution. Ensure adherence to version control systems (e.g., Git) and best practices in collaborative workflows. Qualifications: Proven experience in leading technical teams and developing applications using microservice architecture. Proficiency in Python and FastAPI for building robust and scalable backend services. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization technologies such as Docker and Kubernetes for efficient application deployment. Familiarity with CI/CD pipelines and automation tools to streamline the development and deployment process. Strong knowledge of API design and implementation best practices, ensuring high-quality and secure integrations. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications to ensure data integrity and confidentiality. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases in AI-driven applications. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interaction with LLMs. Exposure to various prompt engineering techniques in different AI scenarios. At Blend, we believe in the transformative power of AI, combined with human expertise, to create meaningful impacts. Join our team and contribute to cutting-edge technology projects that shape the future of AI and innovation. Enjoy a culture that fosters collaboration, growth, and creativity while working alongside some of the brightest minds in the industry.

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

Why Verizon: At Verizon, we empower our employees to innovate, grow, and make an impact. Our V Team thrives on a culture of inclusivity, collaboration, and bold ideas. Whether in crisis or celebration, we come together to lift our communities and create a meaningful difference. When you join Verizon, you join a team committed to driving technology and shaping the way the world lives, works, and plays. Role Overview: As the Director of Software Development, you will be at the forefront of driving AI-driven innovation within the Verizon Business Group s (VBG) service domain. This role requires a deep understanding of digital and agent experiences, as well as expertise in infusing AI across service journeys. You ll lead a talented team to develop and maintain experience platforms while delivering cutting-edge business solutions. Key Responsibilities: Leadership & Team Building: Build and lead a highly motivated, skilled team of digital innovators. Coach, train, and mentor team members to achieve subject matter expertise. Hire and develop high-performing talent to support strategic goals. Strategic Planning & Execution: Oversee architecture, development, and maintenance of Experience Platforms (SOEs) handling VBG service requests. Drive AI solutions to enhance business value in the service domain. Collaborate with cross-functional teams to establish goals and deliver business outcomes. Solution Design & Implementation: Design intuitive, scalable solutions aligned with AI standards. Partner with AI&D teams to define use cases for VBG customer service management. Benchmark architecture and coding standards against industry best practices. Market & Industry Insight: Analyze emerging technologies and trends to reimagine service experiences. Stay ahead of industry advancements to keep Verizon at the forefront of innovation. Decision-Making Authority: Act independently within your area of responsibility, managing budgets and resources. Qualifications: Basic Requirements: Bachelor s degree or equivalent technical qualification. Ten or more years of relevant experience demonstrated through work or specialized training. Proficiency in Spring Boot, React, and Python. Expertise in engineering data and extracting insights using AI/ML techniques. Two or more years of experience in developing and deploying AI models in production. Strong understanding of technology selection, architecture, and full-stack implementation. Proven ability to manage multiple projects and meet tight deadlines in a dynamic environment. Preferred Qualifications: Five or more years of experience in the telecom network domain. Leadership experience managing diverse global teams. Industry recognitions, patents, or published papers. Active participation in professional bodies or standards organizations. Qualification : Bachelors degree or equivalent technical qualification

What You ll Be Doing: As a Lead Software Engineer, you ll spearhead the design and development of the M2M Management Center platform, a scalable solution connecting customers to Verizon s extensive global network. Your role will involve: Collaboration: Partnering with internal and external teams to define release content, ensuring the platform meets evolving competitive demands. Leadership and Mentorship: Guiding software engineering teams focused on web and API development. Mentoring team members to ensure timely, high-quality product delivery. Architecture and Documentation: Documenting architectural guidance to ensure platform scalability and performance. Overseeing systems and service architectures. Strategic Execution: Driving platform strategy, coordinating with cross-functional teams, and ensuring successful implementation. Continuous Innovation: Adhering to industry standards, exploring emerging technologies, and driving improvements in infrastructure, applications, and processes. Where You ll Work: This hybrid role combines remote work with assigned in-office days, offering flexibility and collaboration. What We re Looking For: Must-Have Qualifications: Bachelor s degree or six or more years of relevant work experience. Six or more years of experience with: Java Development, including design and architecture. Test Data Management tools and processes. Preferred Qualifications: A degree in Computer Science or Computer Engineering. Proven experience in: Developing scalable web applications with Java Spring, AWS, Kubernetes, and database programming. Leading software development projects and teams. Handling high-pressure customer or end-user requests. Performance tuning and ensuring application scalability. Strong hands-on knowledge of databases like Oracle, Cassandra, and DB2 DBA Programming. Experience or interest in Machine Learning (ML) and Generative AI (Gen AI) development. Familiarity with Agile and Waterfall project management methodologies. Why You ll Succeed Here: You re a visionary leader driven by innovation and results. Your ability to simplify technical concepts and inspire your team will foster collaboration and efficiency. You excel in fast-paced environments, balancing multiple priorities without compromising deadlines or quality. Qualification : Bachelors degree or six or more years of work experience

Why Verizon: At Verizon, we believe in empowering our employees to think freely and share bold, innovative ideas. We strive to create an environment where everyone can learn, grow, and thrive. Our mission is to connect people to what brings them joy and to drive innovation that impacts the world. Join the V Team, a community of forward-thinkers, where your contributions help shape the future of technology and positively impact communities around the globe. Role Overview: We are seeking a Director of Software Development for Verizon Business Group s Global Technology Solutions (GTS) team in India. The role focuses on driving AI-powered solutions across the service journey, specifically within digital and agent experience domains. You will lead the development and maintenance of experience platforms, utilizing AI solutions to enhance service interactions and improve business outcomes. As a key leader, you will be responsible for building and leading a high-performing team, influencing cross-functional partners, and communicating the vision for Verizon s AI-infused service solutions. This role requires a strong background in architecture, AI integration, and technical leadership, along with the ability to drive innovation and deliver results in a fast-paced, customer-focused environment. Key Responsibilities: Leadership & Team Management: Lead and mentor a talented team focused on delivering high-quality AI-driven service solutions. Hire, train, and inspire a team of digital innovation experts. Collaborate with cross-functional teams, ensuring effective communication and alignment with Verizon Business Group leadership. AI & Service Experience Development: Responsible for the architecture, development, and maintenance of experience platforms handling service requests for VBG. Design solutions in line with AI standards, creating an intuitive experience across all service channels. Propose and implement AI-powered strategies to address business challenges and enhance service offerings. AI/ML Integration: Engineer data-driven insights from large datasets using AI/ML techniques. Lead the development and deployment of AI models in production, ensuring the seamless integration of these models into the service platform. Strategic Partnerships & Industry Benchmarking: Partner with global teams and strategic partners to deliver committed business outcomes. Benchmark against industry best practices and collaborate with AI&D teams to define service management use cases for VBG customers. Innovation & Continuous Improvement: Analyze trends and emerging technologies to reimagine and improve the service experience. Facilitate cross-functional ideation sessions to develop solutions that streamline omni-channel processes and enhance digital experiences. Executive Reporting & Collaboration: Regularly review critical projects with executive leadership and provide updates on progress. Work closely with leadership teams to ensure business goals are met through innovative service solutions. Qualifications: Education: Bachelor s degree or equivalent technical qualification. Experience: 10+ years of relevant experience in software development and AI solutions. Proficiency in Spring Boot, React, Python, and AI/ML techniques for data engineering and insights generation. 2+ years of experience in deploying AI models to production. Proven experience in technology leadership, including architecture design, technology selection, and full-stack implementation. Skills & Expertise: Strong problem-solving skills with the ability to manage multiple projects and meet deadlines in a fast-paced, dynamic environment. Experience identifying opportunities and facilitating cross-functional collaboration to improve digital experiences and streamline service processes. Experience in the telecom network domain is a plus. Demonstrated leadership experience, including managing diverse global teams and driving AI initiatives. Industry recognition, participation in standards/professional bodies, and patents/publications are beneficial. Desired Skills: Leadership in Global Teams: Previous leadership in a global setting is highly desirable. Telecom Network Domain Knowledge: At least 5 years of experience in the telecom network domain is preferred. Certifications & Recognitions: Industry certifications, patents, or published papers are an added advantage. What Verizon Offers: This role offers an exciting opportunity to shape the future of AI-powered service experiences within one of the top 20 Fortune 500 companies. You will be part of a collaborative, innovative environment that values continuous learning and growth. With Verizon, you can expect a work culture where your contributions truly matter, helping to drive both technological advancement and customer satisfaction. Where You ll Be Working: This is a hybrid role, offering a defined work location with the flexibility of working from home and assigned office days as determined by your manager. Qualification : Bachelors degree or equivalent technical qualification

Role Overview: As a Software Engineering Lead at Verizon, you will play a pivotal role in designing and developing complex software architectures for our Machine-to-Machine Management Center platform. This globally integrated network platform enables customers to manage one of the largest networks worldwide. You will lead multiple software engineering teams internally and externally, ensuring the delivery of products that are architecturally sound, on spec, and on time. You will work with stakeholders to define release content, lead software platform releases, and provide architectural oversight across systems and services. You will be responsible for mentoring engineering teams, planning and reviewing their work, solving problems, and removing barriers to optimize productivity. Additionally, you will help ensure the scalability and performance of the platform, adhering to industry standards and keeping up with emerging technologies. Key Responsibilities: Leadership & Team Management: Lead multiple software engineering teams (internal and external) to develop complex software architectures. Provide leadership oversight during software platform releases and ensure products are on spec, delivered on time, and architecturally sound. Mentor engineering teams, plan their work, review their progress, and solve problems to ensure optimal productivity. Foster a collaborative work environment and remove obstacles to team success. Architectural Oversight & Strategy: Define and maintain architectural guidance for the platform to ensure performance, scalability, and reliability. Lead the implementation of the software development strategy and partner with cross-functional teams to deliver business outcomes. Stay current with emerging technologies, trends, and industry best practices to drive continuous improvement across systems and processes. Collaboration with Stakeholders: Collaborate with external teams to define and deliver release content, ensuring platform growth aligns with competitive demands. Work closely with cross-functional teams to ensure alignment and delivery of strategic goals. Innovation & Continuous Improvement: Embrace new technologies and innovative approaches to improve the system architecture and software platform. Stay informed on industry trends and integrate emerging technologies into the platform to maintain a competitive edge. Qualifications: Education: Bachelor s degree or equivalent work experience. A degree in computer science or computer engineering is preferred. Experience: 6+ years of experience in software engineering, including Java development, design, and architecture. Experience with test data management and driving scalable and high-performance solutions. Proven track record of leading software development projects and teams to successful delivery. Skills & Expertise: Strong knowledge of Java development, scalable web applications, and architecture. Experience with AWS, Kubernetes, Java Spring, and DB programming (including Oracle, Cassandra, and DB2). Knowledge of performance tuning, scalability, and high availability for large-scale systems. Ability to manage multiple competing priorities and deadlines, delivering results in a fast-paced environment. Desired Skills: Experience with Machine Learning or Gen AI development is a plus. Experience in project management, including both waterfall and agile methodologies. Proven experience handling high-pressure customer or end-user requests and issues. Strong understanding of the software development lifecycle (SDLC) and hands-on experience in database management and programming. Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences. What Verizon Offers: At Verizon, you will have the opportunity to lead and innovate in a fast-moving, dynamic environment. You will work with talented professionals across the globe, contributing to impactful projects that enhance the customer experience. Verizon is committed to providing its team members with the tools, resources, and support they need to thrive. Qualification : Bachelors degree or six or more years of work experience

Principal Software Engineer Database Store (PMTS) | Hyderabad, India Full-Time | Software Engineering | Salesforce Build the Future of Enterprise-Grade Cloud Databases at Massive Scale Join Salesforce s Salesforce Database (SDB) team in Hyderabad, where we design and build a highly available, resilient, and scalable distributed storage system powering Salesforce s core enterprise applications on public cloud infrastructure. We re pioneering next-generation cloud computing technologies with a strong focus on transactional and distributed systems that deliver world-class reliability and performance. If you are a seasoned software engineer or technical leader with deep expertise in RDBMS, distributed databases, and scalable storage architectures, this is your chance to drive innovation in enterprise cloud database technology at one of the world s fastest-growing tech companies. What You ll Do Lead the design, architecture, and hands-on development of scalable, fault-tolerant, and resilient distributed transactional systems Build and optimize highly available data storage solutions supporting mission-critical Salesforce applications Develop clean, high-quality code primarily in Java or C within Unix/Linux environments, applying modern OOP techniques and design patterns Utilize telemetry and metrics-driven development to ensure operational excellence and system health Collaborate in an Agile development environment, contributing to continual team process improvement Mentor junior engineers and actively participate in code reviews and testing to maintain high-quality standards Solve complex challenges related to clustering, system programming, and cloud-native deployment Work closely with cross-functional teams to innovate and deliver incremental, reliable system improvements on public cloud platforms Employ knowledge of Kubernetes, public cloud APIs, and distributed systems internals to optimize deployment and scalability Qualifications & Skills 15+ years of professional software engineering experience, or M.Tech with 12+ years of relevant experience Proven track record in designing and delivering large-scale distributed and transactional systems in enterprise production environments Strong proficiency in Java or C programming on Unix/Linux platforms Deep understanding of relational databases, distributed systems architecture, and fault-tolerant storage Experience using metrics, telemetry, and monitoring tools to drive system improvements and operational reliability Familiarity with Agile methodologies and commitment to continuous delivery and improvement Strong leadership skills with the ability to mentor, collaborate, and influence within a dynamic engineering team Practical knowledge of cloud infrastructure, Kubernetes, and deployment automation is highly desirable Benefits & Perks Comprehensive benefits including health and well-being reimbursements, parental leave, adoption and fertility support Access to world-class enablement and continuous learning via Trailhead and other platforms Regular 1:1 coaching sessions with executive leadership for career growth and mentorship Opportunity to participate in Salesforce s 1:1:1 philanthropy model and give back to the community Work in a fast-paced, metrics-driven, and collaborative culture focused on innovation and excellence

Principal AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role We are hiring a Principal Software Engineer to lead critical initiatives for the flagship Microsoft 365 Copilot App on Windows. Join our high-caliber team in India working at the forefront of AI innovation. You will be a key contributor to building AI-powered features that enhance productivity and collaboration across platforms, including Windows, Mac, Android, iOS, and web. Microsoft 365 Copilot is a transformative AI assistant already used by over 100 million users globally. This is a unique opportunity to impact billions of lives and shape the future of AI-powered productivity at scale. Key Responsibilities Design and implement robust, scalable features for the Windows-based Microsoft 365 Copilot application. Ensure feature integration aligns with overall product architecture and design principles. Develop and maintain automation, write test plans, and provide accurate task estimates. Embrace team-wide best practices for quality, security, and performance. Demonstrate strong ownership, accountability, and a continuous learning mindset. Collaborate across global teams including Product, Design, QA, and Engineering stakeholders. Participate in agile sprints and the full software development life cycle (SDLC). Required Qualifications Bachelor s degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience. Proficiency in one or more programming languages: C, C++, C#, Java, JavaScript, Python. Strong customer-centric mindset and a passion for delivering high-impact experiences. Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments. Outstanding communication and cross-functional collaboration abilities. Preferred Qualifications 10+ years of industry experience OR Master s degree in Computer Science with 8+ years of experience. Background in Office technologies or experience developing for Windows, iOS, Android, or Mac platforms. Familiarity with cloud technologies and services, preferably Microsoft Azure. Hands-on experience with agile methodologies and large-scale commercial software products. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We value integrity, respect, accountability, and inclusion. As part of our team, you will be immersed in a culture of innovation and growth where everyone can thrive. Work with Purpose This role offers a once-in-a-career opportunity to work on cutting-edge AI technologies that will redefine how people interact with productivity software. If you are passionate about AI, Windows platforms, and building scalable, elegant, and secure solutions, we want to hear from you. Qualification : Bachelors degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience.

Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Conversational AI Technical Lead Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm IT is seeking a Lead Conversational AI Developer for its Intelligent Automation Center (IAC). This role focuses on designing and implementing AI-driven conversational experiences using Microsoft Azure, Copilot Stack, and GenAI frameworks. Key Responsibilities Design and implement Conversational AI solutions using Microsoft Azure and Copilot Stack with Generative AI. Hands-on experience with Microsoft Copilot Studio, Bot Framework, Azure AI Search, Azure OpenAI, and NLP technologies. Develop end-to-end AI projects utilizing Retrieval-Augmented Generation (RAG) and Agentic AI architectures. Build bot solutions using Python; knowledge of front-end technologies like Angular is a plus. Utilize Azure Cognitive Services (LUIS/CLU, QnA Maker, Spell Check, Speech API). Extend Copilot Agent functionalities with Power Automate, Logic Apps, and APIs. Work with LangChain, LlamaIndex, and Streamlit for GenAI solution development. Ensure code quality through unit testing and reusable test case development. Support product testing and UAT; report status, issues, and risks regularly. Mentor team members and improve automation skills through certification. Minimum Qualifications Bachelor s degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree. 2+ years of experience with database technologies like MongoDB or MySQL. Strong understanding of Conversational AI and Intelligent Automation methodologies. Experience in process mining tools like Celonis (data models, dashboards). Proficient in business process diagrams and flowcharting using Automation Anywhere. Knowledge of Robotic Process Automation (RPA) tools (certifications preferred). Strong programming background, especially in Python. Knowledge of RDBMS and SQL query writing. Experience in cloud platforms (preferably AWS); certifications are a plus. Agile development experience with tools like Jira. Skills & Competencies Strong knowledge of Microsoft Conversational AI Stack (Copilot Studio, Azure AI Foundry/Search/OpenAI). Experience in GenAI frameworks like LangChain. Strong communication, leadership, and team collaboration skills. Ability to manage tasks independently and lead a technical team effectively. Qualification : Bachelors degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree.