Description
We are seeking a Director, AI Platform & Governance to lead the development and implementation of our enterprise AI platform strategy, roadmap, and target-state architecture.
Job Summary: As a Director, AI Platform & Governance, you will own the enterprise AI Platform strategy, roadmap, and target-state architecture. You will define and evolve the organization's AI capabilities, standards, and operating model.
Key Responsibilities:
AI Platform Strategy & Roadmap
- Develop a multi-year roadmap covering AI infrastructure, platform capabilities, governance controls, developer experience, and operational excellence.
- Evaluate emerging AI technologies and define adoption strategies aligned with enterprise objectives.
- Partner with business, Technology, and Data leaders to understand current and future AI requirements.
AI Platform Ownership
- Own the design, delivery, operation, and continuous enhancement of the enterprise AI Platform.
- Lead implementation of core AI Platform capabilities, including AI Gateway, LLM Platform, Prompt Management, Agentic AI Framework, Knowledge Retrieval and RAG Services, Model Registry, Vector Databases, AI Workflow Orchestration, Model Monitoring and Observability, Cost and Usage Management, and AI Development Tooling.
AI Governance & Responsible AI
- Establish and maintain enterprise AI governance frameworks aligned with regulatory requirements and internal policies.
- Lead implementation of governance controls throughout the AI lifecycle.
- Ensure AI systems are developed, deployed, monitored, and retired in accordance with enterprise standards.
MLOps, LLMOps & AI Operations
- Establish enterprise MLOps and LLMOps capabilities.
- Define standards and tooling for model deployment, testing, versioning, monitoring, rollback, and lifecycle management.
Security, Risk & Compliance
- Partner with Information Security and Enterprise Architecture teams to establish secure AI architectures.
- Implement controls for access management, data protection, secret management, model access, and API security.
Technical Architecture & Engineering Leadership
- Provide technical leadership and architectural direction across AI technologies.
- Establish standards for Generative AI, AI Agents, Machine Learning Platforms, Prompt Engineering, RAG Architectures, Knowledge Management, AI APIs and Integrations, and Cloud-native AI Services.
Squad Leadership
- Lead the AI Platform & Governance Squad comprising AI engineers, platform engineers, MLOps engineers, and governance specialists.
- Establish squad objectives, priorities, delivery plans, and performance measures.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related discipline.
- Master's degree preferred.
- 10+ years of experience in AI, machine learning, software engineering, platform engineering, cloud engineering, or related fields.
- 5+ years of experience leading technical teams, platforms, or engineering organizations.
- Proven experience building and operating enterprise-scale AI, machine learning, or cloud platforms.
- Experience leading enterprise architecture, platform engineering, MLOps, LLMOps, or AI infrastructure initiatives.
- Experience implementing AI governance and model risk management processes within regulated industries.
- Financial services or insurance experience strongly preferred.