Eli Lilly is seeking a Senior Agentic AI Engineer to build and scale autonomous AI agent systems transforming clinical data and regulatory processes. This hands-on role involves production coding, architecture design, and coaching within a global healthcare leader.

Company: Eli Lilly and Company

Role: Senior Agentic AI Engineer

Location: Bangalore, Karnātaka, India

Experience:

10+ years of software engineering experience
4+ years focused on AI/ML systems in production environments
4+ years hands-on experience building agentic AI systems
Experience with at least two agentic frameworks
Track record of production implementations adopted as platform patterns
Experience coaching and mentoring engineers
Experience in scaled delivery environments (SAFe Agile or equivalent)

Key Skills:

Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, Haystack)
Python
TypeScript/Node.js
Large language models (OpenAI, Anthropic, Mistral, Cohere, Ollama, vLLM, TGI)
Prompt engineering
Multi-modal orchestration
RAG (Retrieval-Augmented Generation)
Knowledge graphs
Vector databases (Pinecone, Weaviate, Chroma, pgvector, FAISS)
MLOps
AWS
Azure
CI/CD for ML
Model versioning and monitoring
Docker
Kubernetes
API development
Microservices
Event-driven interfaces
Clinical data standards (CDISC, SDTM, ADaM)
Regulatory compliance (GxP, 21 CFR Part 11, ICH)
Health-economics and outcomes research (HEOR)
Agentic AI protocols (MCP, A2A)
AI governance and responsible AI principles

Qualification:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related quantitative discipline

Role Focus:

Design, build, and deploy multi-agent AI systems for clinical data automation, regulatory document intelligence, and health-economics research
Write production Python code for LLM orchestration, RAG pipelines, knowledge graph integrations, and scalable MLOps infrastructure
Develop agentic AI pipelines for clinical and regulatory workflows
Drive innovation in autonomous orchestration and multi-agent patterns
Establish platform standards and reusable architecture patterns through reference implementations
Coach AI engineers and technical leads via code reviews, pair programming, and hands-on problem solving
Translate stakeholder requirements into working agent systems
Design and lead capability-building programs for Agentic AI Architects
Represent team in enterprise AI architecture forums and communities of practice
Ensure AI agent outputs meet regulatory standards and build validation-ready testing frameworks
Embed compliance, guardrails, and human-in-the-loop checkpoints into agent systems

Additional responsibilities:

Accelerate delivery where external partners face capacity or pace constraints
Promote ideas and impact decisions across multiple teams and capabilities
Challenge the status quo to improve engineering practices and drive innovation
Track and experiment with frontier GenAI and agentic AI developments
Build APIs, microservices, and event-driven interfaces exposing agent capabilities
Build knowledge graph integrations and semantic search capabilities
Build scalable MLOps and data pipelines across cloud platforms
Communicate complex technical problems to non-technical audiences
Drive improvements to engineering processes and practices

Nice to have:

Experience in pharmaceutical, life sciences, or healthcare regulated environments
Familiarity with CDISC standards and clinical trial data flows
Exposure to HEOR workflows including systematic literature reviews and meta-analyses
Experience with SAS-to-R/Python migration
Knowledge of emerging agent interoperability protocols (MCP, A2A)
Prior work integrating AI agents with enterprise clinical or regulatory platforms (e.g., Veeva Vault, Medidata, SAS Drug Development)
Experience shaping enterprise GenAI tooling, infrastructure, and guardrails

Other:

Global healthcare leader headquartered in Indianapolis, Indiana
Company values caring, discovery, and putting people first
Committed to diversity, equity, and inclusion
Supports individuals with disabilities for workforce engagement
Offers a full-time position
Job category: Information Technology

Senior Agentic AI Engineer

Skills Required

Description