EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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 Center of Excellence (México)
🏢 Epam Systems
📍 México