[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Chennai # Gen AI Chennai Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/411921J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Gen AI ## Job description ### Gen AI Exp 3 – 15 yrs - Build, fine-tune, and optimize Large Language Models (LLMs) for banking-specific use cases (credit risk, AML, KYC, audit, compliance, customer service, etc.). - Develop RAG pipelines, vector databases, embeddings, and multimodal retrieval systems. - Design and integrate agentic AI workflows, autonomous agents, and multi-agent orchestration for complex banking tasks (case investigation, decision reasoning, trade surveillance alerts, credit assessment, etc.). - Implement prompt engineering, prompt-chaining, and guardrails for safe and compliant GenAI outputs. - Work with open-source and proprietary models (OpenAI, Gemini, Llama, Claude, Mistral, Falcon, etc.). - Proficiency with Python, LangChain / LlamaIndex, HuggingFace, PyTorch, TensorFlow. - Experience with RAG pipelines, embedding models, vector databases (FAISS, Pinecone, Milvus, Chroma, OpenSearch). - Hands-on with agentic AI frameworks (LangGraph, Autogen, CrewAI, Haystack Agents, Swarm). - Experience with Azure OpenAI / AWS Bedrock / GCP Vertex AI. - Machine learning experience across supervised, unsupervised, time-series, and NLP. - Strong knowledge of ML Ops & LLM Ops (Sagemaker, V ertex AI, Azure ML, MLflow, Kubeflow). - Understanding of DevOps, CI/CD, Docker, Kubernetes, microservices