AI Center of Excellence (COE) Engineering Manager

About the Position

We are looking for an AI leader to build and run an AI Center of Excellence for a data-focused organization, setting strategy, standards, and governance for responsible AI adoption. You will align stakeholders across business, technology, and compliance while enabling secure, compliant AI platforms and measurable outcomes-apply to help shape the enterprise AI program.

Responsibilities

• Define the enterprise AI strategy, roadmap, and COE operating model
• Lead cross-functional stakeholders to align AI standards, best practices, and success measures
• Advise executive leadership on AI trends, risks, opportunities, and pragmatic adoption paths
• 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 for policy and regulatory alignment
• Drive adoption of enterprise AI platforms with focus on AWS Bedrock, Microsoft Copilot Studio, and Anthropic Claude
• Partner with engineering, data science, and security teams to build scalable, secure integrations
• Create reusable patterns, reference architectures, and technical guidelines for AI solutions
• Facilitate workshops and working sessions to align governance, priorities, and ROI
• Develop adoption playbooks, training programs, and communication plans to grow AI maturity
• Track and report enterprise AI metrics, compliance status, and value realization to leadership

Requirements

• 3+ years of experience leading AI technology management initiatives across teams
• Strong leadership skills to drive cross-functional alignment and decision-making
• Proven project delivery experience defining roadmaps, operating models, and success metrics
• Hands-on experience with AWS Bedrock, Microsoft Copilot Studio, and Anthropic Claude
• Strong governance knowledge across AI-DLC and Agile Lifecycle Management practices
• Solid data fundamentals aligned with Data Engineering Essentials
• Advanced English proficiency (C1, Advanced)

What We Offer

• 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