Sr. Principal or Engineering Advisor - Agentic Lab Automation Integration
Listed on 2026-03-01
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Engineering
AI Engineer, Systems Engineer
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.
We’re looking for people who are determined to make life better for people around the world.
Lilly Small Molecule Discovery is an organization purpose‑built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution.
Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platforms is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.
Frontier AIFrontier AI is a purpose‑built team that fuses scientific agentic AI, lab automation, and unified data platforms to autonomously design, run, and refine experiments—accelerating molecule discovery.
Position SummaryWe are rebuilding the Design‑Make‑Test‑Analyze (DMTA) cycle by integrating agentic AI, cloud‑based orchestration, and LIMS infrastructure to connect experimental readouts with tools that accelerate laboratory science.
You will engineer the connective tissue between Agentic AI and physical lab systems building practical integrations with robotic platforms, analytical instruments, and data pipelines. You’ll design agent workflows that reason over experimental data, trigger automated actions, and surface insights to scientists. This is a hands‑on engineering role: you’ll prototype rapidly, product ionize what works, and collaborate with chemists, biologists, and automation engineers to deploy intelligent systems that accelerate molecule discovery tasks.
Research& Innovation
Build multi‑agent systems with robust orchestration, state management, error recovery, and tool integration
Prototype and iterate rapidly on agent planning strategies, memory systems, and human‑in‑the‑loop patterns
Design agent architectures that interface with lab automation platforms (Hamilton, Tecan, Opentrons) for closed‑loop experimental execution
Partner with automation engineers and scientists to transition prototypes into reliable lab operations
Deploy and maintain containerized services using Docker and Kubernetes with Git Ops and CI/CD practices
Integrate cloud‑based orchestration frameworks such as Argo on Kubernetes with laboratory control systems
Represent Frontier AI in the broader AI@Lilly and external AI research community: publish, give talks, review papers, and scout emerging trends.
Evaluate external vendors, open‑source projects, and academic collaborations for strategic fit.
Autonomous agents reliably execute experiments on physical laboratory instruments
Measurable reduction in DMTA turnaround through autonomous planning and execution
Agents you build become indispensable to the automation engineering community
Frontier AI platforms scale from pilot deployments to production lab environments
PhD (or MS + 2 yrs / BS + 5 yrs equivalent experience) in Chemical / Mechanical Engineering, Robotics, Computer Engineering, or related discipline with demonstrated wet‑lab automation experience.
Demonstrated experience with laboratory automation systems and LIMS engineering
Direct experience integrating software…
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