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EPAM is a leading global 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 building AI capabilities into the full SDLC and need an AI Engineering Manager to lead hands-on delivery at scale. You will embed LLM tooling into engineering workflows, ship production services and integrations, and enable teams with guardrails, best practices, and measurable impact—apply now.

Responsibilities

- Design and deliver AI-powered solutions embedded into SDLC workflows across requirements, development, testing, and CI/CD
- Build backend services and integrations that enable LLM-based tooling within engineering environments
- Create prototypes and mature them into production-ready AI-assisted automation
- Implement AI capabilities into CI/CD pipelines, code review processes, and testing frameworks
- Identify SDLC use cases with the highest impact for AI enablement
- Define best practices for AI-assisted development across teams
- Support engineering teams hands-on as they adopt AI tools
- Establish guardrails to ensure secure and responsible AI usage




- Measure and communicate the impact of AI adoption on cycle time, quality, and productivity

Requirements

- Proven background with 9+ years of engineering experience in Python (must-have), with added exposure to Java or Node.js as a plus
- Hands-on experience integrating external APIs, including AI/LLM services
- Solid knowledge of CI/CD pipelines along with Dev Ops ways of working
- Expert-level understanding of microservices architecture plus Docker and Kubernetes
- Strong capability to deliver production-grade services with scalability, monitoring, and logging in mind
- Practical experience using LLM APIs and crafting prompts
- Deep understanding of end-to-end SDLC processes
- Demonstrated examples of boosting developer productivity through tooling
- Clear ability to drive adoption of new technical practices across engineering teams
- Effective communication skills when working with engineers and stakeholders
- Flexibility to turn AI capabilities into actionable engineering improvements
- Confidence running demos, workshops, and internal technical sessions

We offer

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

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📌 AI Engineering Manager (Colombia)
🏢 EPAM Systems
📍 Colombia