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