AI Center of Excellence (COE) Engineering Manager

We are looking for anAI 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)