Tech Lead - Automation N 4C

Tech Lead - Automation N Ready to turn bold ideas into real-world impact?  At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges.   If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.    Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.  Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook .

Generative AI & LLM Development Design, develop, and deploy enterprise-scale Generative AI solutions using modern LLMs. Develop prompt engineering frameworks and LLM evaluation methodologies. RAG (Retrieval-Augmented Generation) Architect and implement end-to-end RAG pipelines. Design document ingestion, chunking, embedding, indexing, and retrieval strategies. Work with vector databases such as Pinecone, Weaviate, Chroma, Milvus, FAISS, or Azure AI Search. Optimize retrieval quality through reranking, hybrid search, semantic search, and knowledge grounding. Implement monitoring and evaluation mechanisms for RAG performance. Agentic AI Development Design and build autonomous AI agents and multi-agent systems. Implement planning, reasoning, memory, orchestration, and tool-calling capabilities. Develop agent workflows using frameworks such as GCP ADK, LangGraph, Langchain Integrate agents with enterprise applications, APIs, databases, and business processes. Build secure and governed agent ecosystems for production environments. Data Engineering & AI Data Platforms Design and maintain scalable ETL/ELT pipelines for structured and unstructured data. Build data ingestion frameworks for documents, web content, APIs, databases, and streaming sources. Ensure data quality, lineage, governance, and security across AI systems. Develop scalable feature stores and AI-ready data architectures. MLOps & AI Operations Build CI/CD pipelines for machine learning and Generative AI applications. Implement model versioning, monitoring, observability, and performance tracking. Deploy AI workloads using cloud-native technologies and containerization. Establish responsible AI practices, security controls, and compliance frameworks.

Years of software development experience with at least 3+ years focused on AI/ML and Generative AI. Strong programming skills in Python and familiarity with Java/Scala/C# is a plus. Experience building and deploying enterprise AI applications in production environments. Strong understanding of machine learning, deep learning, NLP, and LLM architectures.

Bachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering Certifications AWS Certified Solutions Architect - Professional - Amazon Web Services (AWS)Amazon Web Services (AWS), Certified Kubernetes Administrator (CKA) - CNCF (Cloud Native Computing Foundation)CNCF (Cloud Native Computing Foundation), Red Hat Certified Engineer (RHCE) - Red HatRed Hat Required Skills Agile Methodology, Client Relations, Collaboration Tools, Cora APFlow, Design Thinking,