AI Lead - Applied AI & Agentic Systems in Chennai, भारत

Role : AI Lead - Applied AI & Agentic SystemsLead AI from business vision to production impact - across ML, GenAI and agentic https://jobeax.com/link/dutMtX6M2p72VcLF you'll own : - Shape the AI roadmap. Partner with HODs, CXOs and their -1 leaders to identify opportunities, prioritise use cases and translate strategic goals into an executable AI portfolio.- Architect AI products. Design end-to-end ML, GenAI and agentic solutions across models, RAG, tools, APIs, state, orchestration, human approvals, security and observability.- Lead agentic delivery. Guide hands-on implementation using LangGraph, CrewAI or similar frameworks; define routing, specialist agents, memory/state, tool permissions, retries and loop controls.- Drive productionisation. Move priority use cases from discovery to production with evaluation, MLOps/LLMOps, monitoring, fallbacks, cost controls, governance and adoption.- Lead the team. Set technical direction, review designs and model choices, mentor AI talent and create strong ownership for quality, velocity and measurable outcomes.- Build across teams. Work with Data, Product, Engineering, Architecture and Business teams to create reusable AI components and remove delivery https://jobeax.com/link/AKcrY1vQdYgKdTvE you'll bring : - Hands-on experience. 7 - 10 years in ML/DL or applied AI, including 3+ years implementing GenAI solutions in production.- Framework depth. Hands-on LangGraph, CrewAI or comparable agent orchestration experience; strong LangChain or similar LLM application framework experience.- AI/ML depth. Strong ML/DL foundations plus RAG, embeddings, vector search, reranking, model routing, multimodal AI, optimisation and evaluation.- Strong engineering. Python, APIs/FastAPI, async services, cloud, Git, Docker, CI/CD and practical MLOps/LLMOps; product engineering experience preferred.- Leadership judgement. Engage CXOs/HODs, simplify complex trade-offs, manage teams and balance business value, architecture, risk, latency and https://jobeax.com/link/29w1RQ3GE58mLiZi will make you stand out : - Builder + architect. Show systems you helped build end-to-end - from an ambiguous business problem through architecture, implementation, production and adoption.- Agent depth. Open and debug the graph : state, routing, tools, hand-offs, retries, checkpoints, human approvals, traces and failure paths.- Ownership under ambiguity. Be self-starting, comfortable with leap goals and able to turn loosely defined leadership intent into measurable https://jobeax.com/link/d5t6zevDiXTqKLif this opportunity stands out : - Enterprise-wide canvas. Build AI across sales, onboarding, underwriting, claims, FWA, service, operations, technology and employee productivity.- Direct leadership exposure. Work with business leaders to shape where AI should change journeys, decisions and operating models.- Own the full loop. Lead from problem discovery and roadmap through architecture, delivery, production adoption and impact measurement.- Shape the AI platform. Define reusable agents, RAG patterns, evaluation standards, engineering guardrails and ways of working for Enterprise https://jobeax.com/link/XpOdFnOUwRIa8XT8 your first six months can look like : - Learn and prioritise. Understand journeys, data, systems and the current AI estate; align leadership on the highest-value portfolio and success metrics.- Ship meaningful outcomes. Take priority ML/GenAI/agentic use cases into controlled production with measurable business impact and strong operating controls.- Raise the bar. Establish architecture and review standards, coach the team and package successful patterns for reuse across https://jobeax.com/link/syH8XVnFADyV3734 impact at Star Health : - Build for : sales effectiveness; onboarding and underwriting; claims and FWA; customer experience; employee productivity; AI for technology and operations.- Success looks like : a team repeatedly ships safe, scalable AI products that are adopted, measurable and improve turnaround time, quality, cost, conversion or customer https://jobeax.com/link/miRZgwW22burP3c5 TO BUILD? Bring a story where you turned a senior leader's ambition into an AI roadmap and production outcome. (ref:hirist.tech)