Director, AI Platforms & Engineering
Core
Define and lead enterprise AI platform strategy, architecture, and engineering to enable secure, reliable, and scalable development of AI solutions across the organization.
Role type
Director, AI Platforms & Engineering
Builds
Enterprise AI platforms, services, frameworks, and APIs supporting ML, agentic AI, and AI-enabled BI
Domain
Enterprise AI, Machine Learning, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Enterprise architecture design, Machine learning engineering, Generative AI and AI agents, Cloud platforms (AWS, Azure, Snowflake), MLOps/LLMOps, Platform strategy, Stakeholder management, Budget and vendor management
Preferred skills
Advanced degree in CS/Engineering/Data Science, Experience in regulated environments (healthcare/finance)
Technologies
Snowflake, AWS, Azure, LLM stacks, RAG, Vector technologies, CI/CD, APIs
Responsibilities
Define multi-year strategy and reference architecture for AI platforms, Establish scalable architecture for generative AI and AI agents, Set enterprise AI architecture and environment standards, Drive disciplined software engineering practices including CI/CD and release management, Establish lifecycle management for predictive models and AI agents, Translate AI governance policies into technical controls, Manage platform consumption and vendor commitments, Develop annual operating plans and succession readiness plans
