AI Operating System (AIOS) Leader
Eli Lilly and Company (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 45–70 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Own strategy, architecture, and phased roadmap for Lilly's AI Operating System across Data, Compute, Model, and Application layers.
- Lead ML Engineering and Data Engineering teams to deliver and continuously improve AIOS platforms, ensuring scale, security, and reliability.
- Serve as central accountability point connecting engineering, science, and enterprise architecture to enable AI at scale and scientific breakthroughs.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 12+ years of relevant experience including ownership of multi-layer AI/ML platforms in large, matrixed enterprises.
- Proven leadership experience managing ML Engineering and Data Engineering teams and multiple squad leads.
- Experience with GPU compute infrastructure, distributed training, ML lifecycle tooling, regulated environments (GxP, SOX, CSV/CSA), and multi-provider LLM gateway governance.
Ideal Candidate Profile
- Senior leader with demonstrated ability to manage complex AI/ML platforms and cross-functional technical teams in regulated, enterprise environments.
- Experienced in driving strategy, partnership, and governance involving compute infrastructure and AI platform lifecycle at scale.
- Comfortable working with research-focused scientific teams and interfacing with executive leadership on technical strategy and investment cases.