Sr. Principal or Engineering Advisor - Agentic Lab Automation Integration

BioSpace; Indianapolis (IN); On-site; USD 87,000 - 222,200; Full time

Benefits offered by this job

401(k) plan

Pension

Vacation benefits

Medical, dental, vision benefits

Job summary

Lilly in Indianapolis is pursuing transformative DMTA-cycle work by integrating agentic AI, cloud orchestration, and LIMS infrastructure to connect experimental readouts with automation tools. You will engineer the bridge between AI and physical lab systems, prototyping rapid integrations with robotic platforms, instruments, and data pipelines, and designing agent workflows that reason over data.

This hands-on role collaborates with chemists, biologists, and automation engineers to deploy

Qualifications

• PhD (or MS/BS with wet-lab automation experience) in a related field.
• Experience with laboratory automation systems and LIMS engineering.
• Direct experience integrating AI systems with lab automation platforms.
• Strong experience with containerized production-grade Python apps.

Responsibilities

• Build multi-agent systems with orchestration and tool integration.
• Prototype agent planning strategies and memory systems.
• Design architectures interfacing with lab automation platforms for closed-loop execution.
• Partner with engineers and scientists to transition prototypes to reliable lab operations.
• Deploy containerized services with GitOps and CI/CD.

Skills

Multi-agent systems

Agent planning

Python development

Lab automation experience

GitHub portfolio

Education

PhD or MS/BS with wet-lab automation experience

Tools

Docker

Kubernetes

Redis

FastAPI & Flask

pytest

Job description

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.

Position Summary

We 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, productionize 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

Solution Deployment

• Partner with automation engineers and scientists to transition prototypes into reliable lab operations
• Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices
• Integrate cloud‑based orchestration frameworks such as Argo on Kubernetes with laboratory control systems

External Engagement

• 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.

What Success Looks Like

• 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

Basic Qualifications

• 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 control and/or AI systems with lab automation platforms (liquid handlers, analytical instruments, robotic workflows)
• Strong experience with containerization (Docker) and Kubernetes‑based orchestration in production environments
• Experience building scalable and production‑level python applications using tools like Redis, FastAPI, flask/streamlit, pytest, etc. (GitHub portfolio a plus)

Preferred

• Experience with LLM post‑training, fine‑tuning, or RLHF
• Direct experience integrating AI or algorithmic decision systems with laboratory automation
• Proven ability to build and maintain the translation layer between high‑level planning logic and low‑level instrument control
• Demonstrable research experience, evidenced by contributions to projects, and ideally through publications in relevant ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR)

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace‑accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $87,000 - $222,200. Full‑time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company‑sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day‑care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well‑being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.