Live opening · Posted 5 days ago

AI Center of Excellence (COE) Engineering Manager

EPAM Systems · Argentina (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyEPAM Systems
LocationArgentina (Remote)
Work modeYes
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

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
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

Work arrangement
Yes

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