Hiring: Sr. Principal or Engineering Advisor - Agentic Lab Automation Integration Company: BioSpace Location: Indianapolis, IN Job Posted Time: 2026-09-15 10:24:02 Employment Type: Full-time Target Skills & Keywords : CI/CD, Data Pipeline, Docker, FastAPI, Fine-tuning, Flask, GitHub, GitOps, Kubernetes, LLM, NLP, Python, Redis, pytest About the job Experience: •2 yrs / BS + 5 yrs equivalent experience) in Chemical / Mechanical Engineering, Robotics, Computer Engineering, or related discipline with demonstrated wet-lab automation experience. Required Skills: •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. •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 GitOps 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. 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 •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 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. •Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is •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. Compensation: •$87,000 - $222,200 / year •Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!