Director, AI Platforms

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Build and run a multi-tenant AI and SDLC platform that provides standardized primitives, including model access, inference serving, and evaluation tooling.
• 2
  Establish golden paths for AI development and deployment, including templates, reference architectures, and developer experience workflows.
• 3
  Drive AI-accelerated developer productivity across the engineering organization by embedding AI capabilities into an AI native SDLC.
• 4
  Partner with product and engineering leaders to drive adoption, measure outcomes, and continually refine the platform based on developer feedback and business impact.
• 5
  Define and deliver the AI and SDLC platform strategy, roadmap, and operating model, including productization, intake, prioritization, lifecycle management, and deprecation policies.

RequirementsAI-extracted

• 10+ years of engineering experience with 5+ years leading teams delivering platform or infrastructure products used by other engineering teams at scale.
• Proven experience building and operating internal platforms, including multi-tenant services with clear operational contracts, reliability targets, and measurable adoption outcomes.
• Experience delivering production AI platform capabilities, such as inference serving, orchestration, evaluation, and model observability.
• Strong technical depth in cloud and distributed systems, including AWS, Kubernetes, networking, and service reliability practices.
• Hands-on experience with infrastructure automation and delivery, including infrastructure as code, CI/CD systems, and policy-as-code approaches.

Perks & BenefitsAI-extracted