AI Engineer

This role is for the “GenAI / agentic build out” workstream). Basically, an AI engineer, keeping up with the latest, forward thinking, plug and play, marginalize everything so when technology changes he /she can quickly limit to plug that gap. A Lead engineer responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands‑on expertise in Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems. The role partners across engineering, product, and business teams to translate complex requirements into production‑ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI. This is a modern AI engineer with agentic systems experience. Technical Depth & Innovation Strong expertise in GenAI architectures and evolving AI technologies Ability to balance experimentation with enterprise‑grade reliability Build and integrate AI agents Architecture & Systems Thinking Designs scalable, distributed, and resilient systems Aligns architecture decisions with enterprise standards and long‑term strategy Design, develop, and deploy GenAI solutions leveraging: Retrieval‑Augmented Generation (RAG) architectures Prompt engineering techniques Agentic AI workflows and orchestration Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service Lead the end‑to‑end lifecycle of GenAI solutions, including: Solution architecture and engineering Integration with enterprise systems Secure deployment and release management Monitoring, observability, and continuous optimization Evaluate emerging tools and frameworks to continuously improve solution quality and innovation Work with Claude, CoCo, Genie, LangChain (or its successor) Handle API integration, orchestration, plumbing Move fast and adapt to rapidly changing AI tech Work across Snowflake + Databricks + OpenAI Provide architectural leadership and guidance across GenAI initiatives Mentor and coach engineers and development teams Translate business requirements into scalable, secure, and resilient technical solutions Partner with stakeholders across product, business, risk, and security functions #J-18808-Ljbffr Tata Consultancy Services Limited