Hiring: Agentic Automation Lead - Frontier AI Company: BioSpace Location: South San Francisco, CA Job Posted Time: 2026-09-13 10:24:02 Employment Type: Full-time / On-site Target Skills & Keywords : CI/CD, Docker, GitOps, Kubernetes, LLM, R, Reinforcement Learning, Systems Design About the job Experience: •3 yrs / BS + 6 yrs equivalent experience) in Computer Science, Chemical Engineering, Robotics, Chemistry, Computational Biology, or a related discipline •5+ years of applied experience building AI or algorithmic decision systems, including production LLM agent or multi-agent systems Required Skills: •Agentic System Design •Design and build multi-agent systems with robust orchestration, state management, error recovery, and tool integration for laboratory workflows •Build the translation layer between high-level scientific intent and low-level instrument control across automation platforms (Hamilton, Tecan, Opentrons) and analytical instruments (LC/MS, NMR, HPLC) •Implement active learning, Bayesian optimization, and reinforcement-learning approaches for autonomous experiment selection under real-world cost and throughput constraints •Instrument the loop end-to-end so every experiment produces model-ready data in ELN/LIMS and downstream training corpora •Partner with automation engineers and scientists to transition prototypes into reliable, monitored lab operations •Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices •Technical Leadership & Platform Ownership Qualifications: •PhD (or MS + 3 yrs / BS + 6 yrs equivalent experience) in Computer Science, Chemical Engineering, Robotics, Chemistry, Computational Biology, or a related discipline •At least one year of direct people management experience •Demonstrated experience integrating software control and/or AI systems with laboratory automation platforms (liquid handlers, analytical instruments, robotic workflows) •Track record of owning a platform or product end to end: defining the roadmap, shipping it to real internal or external users, operating it in production, and iterating based on adoption and feedback •Track record with self-driving labs, autonomous experimentation, or high-throughput experimentation (HTE) workflows •Solid functional working knowledge of LIMS/ELN engineering and scientific data models in a regulated or GxP-adjacent environment •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: •$193,500 - $338,800 / 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!