Job Description
- Job Description:
- Own AI delivery from intake/data readiness through evaluation, deployment, monitoring, and iteration
- Ensure privacy, security, auditability, model/vendor risk controls, and human-in-the-loop use
- Drive architecture, data/integrations, QA automation, reliability, and secure engineering (CI/CD, testing, observability)
- Partner with Product/President to ship measurable, usable, trustworthy capabilities
- Hire and develop a strong engineering/data/ML org with clear standards and accountability
- Improve predictability, capacity planning, tech debt management, and alignment with Services/Support
- Requirements:
- Senior leadership experience in engineering/R&D (VP/Head/Director+)
- Demonstrated AI delivery experience in a commercial product environment (LLM and/or ML)
- Experience evolving engineering organizations toward AI-enabled product development (AI-DLC, ML lifecycle practices, or similar)
- Strong system design and architecture capabilities (data, integrations, security, reliability)
- Track record of improving delivery throughput and quality (CI/CD, QA automation, observability, incident management)
- Executive-level communication skills with the ability to translate technical strategy into clear business priorities and drive alignment across leadership teams
- Benefits:
- Significant autonomy and impact
- President-level mandate that explicitly supports change
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