AI Center of Excellence (COE) Engineering Manager

We are seeking an AI leader to build and drive an AI Center of Excellence, setting enterprise vision, standards, and governance for responsible adoption. You will bridge business, technology, and compliance to deliver secure, compliant, high-impact AI outcomes—apply to help shape how AI is delivered at scale.

Responsibilities

• Define the enterprise AI strategy, roadmap, and operating model for the AI Center of Excellence
• Lead cross-functional teams to align on AI standards, best practices, and success measures
• Establish AI technology standards for development, deployment, monitoring, and lifecycle management
• Design governance frameworks for token management, access provisioning, policy enforcement, and responsible AI guardrails
• Oversee evaluation and approval of AI tools, models, and services to ensure policy and regulatory alignment
• Drive adoption of enterprise AI platforms including AWS Bedrock, Microsoft Copilot Studio, and Anthropic Claude
• Partner with engineering, data science, and security teams to design scalable, secure integrations with existing systems
• Create reusable patterns, reference architectures, and technical guidelines for AI solution development
• Facilitate workshops and working sessions to align stakeholders on governance, priorities, and ROI
• Develop adoption playbooks, training programs, and communication plans to increase AI maturity
• Track and report enterprise AI metrics, compliance status, and value realization to leadership

Requirements

• 7+ years of experience with AI development lifecycle (AI-DLC) and lifecycle governance
• 1+ years of experience leading AI technology management and enterprise AI programs
• Strong leadership skills to align cross-functional stakeholders and drive standards adoption
• Enterprise governance experience covering access provisioning, policy enforcement, and responsible AI guardrails
• Hands-on platform knowledge of AWS Bedrock, Microsoft Copilot Studio, and Anthropic Claude
• Strong data engineering fundamentals aligned with Data Engineering Essentials
• Strong communication skills to advise executive leadership on AI risks, trends, and opportunities
• Advanced English proficiency (C1, Advanced)
• Schedule availability to work until 4 pm PST

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn