AI Products Architect Commercial AI & Agentic Solutions

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless workbut its work worth doing. If youre driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. AI Products Architect (Commercial AI & Agentic Solutions) Bengaluru, Karnataka At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it. If you're driven by purpose and determined to make a meaningful difference for patients, we invite you to bring your skill and your commitment to Lilly. About Commercial at Lilly, Bengaluru The medicines Lilly develops only reach patients if the commercial engine behind them works with precision. At Lilly in Bengaluru, the commercial function builds and powers that engine, designing the capabilities, generating the intelligence, and developing the strategies that Lilly's customer-facing teams around the world depend on to connect medicines to the people who need them. The work here is not local in scope. It shapes how Lilly operates commercially across geographies, business units, and markets globally. About Lilly At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. About the role Lilly is building the next generation of AI-powered commercial capabilities spanning predictive AI, generative AI, and agentic systems that will reshape how we engage healthcare professionals across international markets. We are hiring an AI Products Architect to architect these solutions end-to-end. You will take ambiguous business problems, decide what is genuinely tractable with current AI, design the technical solution, and drive a cross-functional team to ship it into production. This is a hands-on, techno-functional individual contributor role the spine that connects business intent to working AI systems. It is not a pre-sales role and not a pure delivery role. What you will do Architect end-to-end AI solutions across a portfolio of strategic commercial AI initiativesTranslate ambiguous business asks into sharp problem statements, two or three viable solution options with honest trade-offs, and a recommended path forwardMake calibrated calls on what is tractable with current AI, what is hype, and when a non-AI approach is the right answerDesign data flows, model approaches, agent orchestration patterns, human-in-the-loop interactions, evaluation strategies, and integrations with enterprise systems and cloud platformsDrive cross-functional pods spanning data science, engineering, MLOps, external vendors, and business stakeholders without direct people managementSet and hold quality bars: evaluation harnesses, guardrails, acceptance criteria, observability standardsPartner with privacy, governance, and compliance teams to keep AI systems shippable in a regulated environmentInfluence the broader AI roadmap by surfacing patterns, anti-patterns, and platform needs across initiatives Basic qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field6+ years of relevant industry experience, with at least 2 years designing or building AI / ML solutions in productionDemonstrated experience architecting AI systems end-to-end, not only contributing componentsStrong Python proficiencyHands-on experience with cloud platforms, with preference for AWS (Bedrock, SageMaker, S3, Lambda) Preferred qualifications Production experience with LLMs and agentic AI frameworks (LangGraph, LangChain, AutoGen, or equivalent) not only proofs of conceptExperience with RAG architectures, prompt and context engineering, and AI evaluation / observability tooling (LangSmith, Arize, or similar)Exposure to MLOps practices including drift detection, monitoring, and model lifecycle managementPharmaceutical, life sciences .