AI Solution Architect - MQ DIA

Overview

AI Solution Architect / Lead for Eli Lilly’s Global DIA to own end-to-end AI and analytics architecture across the Manufacturing & Quality (MQ) technology portfolio.

What you'll do

• Define and own AI/analytics solution architecture across the MQ DIA portfolio, including data ingestion, RAG pipelines, agent orchestration, model serving, and GxP-compliant deployment.
• Lead Architecture Review Boards (ARBs), create Architecture Decision Records (ADRs), and enforce design standards across squads and platforms.
• Architect multi-agent RAG and orchestration systems for manufacturing workflows such as deviation investigation, complaint triage, CAPA recommendation, and batch release support.
• Design enterprise RAG architectures across QMS, MES, and regulatory knowledge bases, including audit-ready provenance and hybrid search.
• Own cloud and data platform architecture strategy across AWS, Azure, and Databricks with security posture, GxP compliance, and cost governance.
• Provide AI governance for model explainability, audit trails, human-in-the-loop gates, and regulatory defensibility of AI-assisted decisions.

What you'll need

• 10–15 years in AI/ML systems, solution architecture, and enterprise data platforms, with at least 5 years as principal/lead architect.
• 3 years in pharmaceutical, biotech, or regulated manufacturing with GxP / 21 CFR Part 11 exposure.
• Expert command of RAG, agentic orchestration, MCP, embeddings, and prompt engineering in production environments.
• Advanced proficiency in AWS (SageMaker, Bedrock, EKS, Redshift), Azure (Azure OpenAI, Azure ML, Synapse), and Databricks (Delta Lake, MLflow, Mosaic AI).
• Strong knowledge of ISA-95/88 manufacturing standards and pharmaceutical QMS concepts (CAPA, OOS, batch disposition), plus pharmacovigilance data flows.
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field; Master's / PhD preferred.

Details

• Location: India, Bangalore.