Head of AI Engineering

The Head of AI Engineering leads the design, development, and operationalization of enterprise-scale AI solutions, ensuring alignment with business strategy, regulatory requirements, and technology standards. This role owns the AI engineering roadmap, drives platform modernization, and establishes best practices for building, deploying, and governing AI models and agentic systems. The position partners with Data, Architecture, Security, and Business teams to deliver scalable, secure, and cost-efficient AI capabilities across the organization.

Responsibilities

• Define and execute the AI engineering strategy, ensuring alignment with enterprise AI vision and business priorities.
• Build and lead a high-performing AI engineering organization, including talent acquisition, upskilling, and succession planning.
• Drive adoption of responsible AI principles and ensure compliance with internal governance and external regulations.
• Own the design and evolution of the enterprise AI platform, including MLOps and agentic AI frameworks.
• Oversee delivery of high-impact AI solutions, including Copilot experiences, agentic workers, and corporate virtual assistants.
• Implement AI governance frameworks covering model risk, explainability, and bias mitigation.

Requirements

• Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
• 12+ years in technology leadership with at least 6 years in AI/ML engineering; proven track record of building and scaling AI platforms and teams.
• Strong understanding of AI risk management, regulatory compliance, and responsible AI practices.
• Technical expertise in AI/ML frameworks, MLOps pipelines, containerization (Docker/Kubernetes), and cloud platforms (Azure preferred).
• Strategic thinking, stakeholder management, and ability to influence at the executive level.