Senior Principal Agentic AI Scientist

Lilly

Indianapolis (IN)

On-site

USD 134,000 - 246,000

Full time

7 days ago
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Benefits offered by this job

Company bonus
401(k) plan
Health benefits

Job summary

Lilly USA Technology at Lilly is seeking a Senior Principal Data Scientist to design agentic AI and machine learning solutions across our employer-access and real-world-evidence initiatives. You will work with internal business and Technology at Lilly partners to solve complex, high-volume problems with intelligent, autonomous, and measurable AI systems that scale horizontally across use cases.

You will own the AI reasoning layer end to end—from framing the problem and designing multi-agent

Qualifications

  • PhD with 4+ years developing, deploying, or maintaining AI/ML/data systems in production.
  • Master’s with 6+ years developing, deploying, or maintaining AI/ML/data systems in production.
  • Bachelor’s with 8+ years developing, deploying, or maintaining AI/ML/data systems in production.

Responsibilities

  • Analyze complex data and develop predictive and generative models.
  • Own the AI reasoning layer end to end from problem framing to evaluation.
  • Build reusable, horizontal AI capabilities across teams and use cases.
  • Design agentic AI systems with agent-to-agent orchestration and autonomous reasoning loops.
  • Develop evaluation frameworks including groundedness, hallucination measures, and regression testing.
  • Translate business problems into solvable AI problems and communicate insights to stakeholders.

Skills

Agentic AI design
AI evaluation frameworks
ML fundamentals
LLM techniques
Python
Technical leadership
Multi-agent workflows

Education

PhD in CS/DS/Stats/Math
Masters in CS/DS/Stats
Bachelor in CS/DS/Math

Tools

LangGraph
LangChain
AWS/Azure & Databricks
SQL/NoSQL data stores
Deep learning frameworks

Job description

Lilly USA Technology at Lilly is seeking a Senior Principal Data Scientist to design agentic AI and machine learning solutions across our employer-access and real-world-evidence initiatives. You will work with internal business and Technology at Lilly partners to solve complex, high-volume problems with intelligent, autonomous, and measurable AI systems that scale horizontally across use cases.

You will own the AI reasoning layer end to end—from framing the problem and designing multi-agent

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