EPAM is a leading general 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 a self-serve Enterprise AI Gateway that standardizes how every team uses large language models with strong governance.

As a Lead AI OPS Engineer, you will design automation-first onboarding, controls, and observability for access, cost, and logging across the platform. Join a small, fast-moving team and apply now.

Responsibilities Design self-service onboarding for teams and agents, from initial request through to functional access

Automate key provisioning, rotation, and permission updates

Tune rate limits and quotas as adoption and usage increase

Deploy and configure models including Vertex AI endpoints, vendor fallbacks, and Model Armor

Operate MCP servers behind the gateway under the same governance rules as models

Develop Python extensions that integrate the gateway with other enterprise systems

Maintain the full platform as code using Terraform, Helm, and Jenkins

Monitor and protect production health across availability, latency, and cost with alerting

Assist teams using the platform and convert recurring questions into automation Requirements Proven 5+ years of experience using Python for automation,



extensions, and integrations

Solid 5+ years of SRE experience with a track record of keeping production systems reliable

Deep expertise in Kubernetes, preferably on GKE

Hands-on experience with Google Vertex AI, especially endpoints for model serving and Model Armor

Practical proficiency with Terraform, Helm, and CI/CD using Jenkins

Working knowledge of GenAI/Agentic AI concepts (patterns, frameworks, protocols)

Production exposure to an AI gateway (LiteLLM, EPAM DIAL or similar) is highly appreciated

Very strong communication skills with the ability to explain platform behavior clearly to teams who use it daily

English proficiency at B2 level (Upper-Intermediate) or higher Nice to have Familiarity with GCP beyond GKE and Vertex AI, such as BigQuery, Cloud Run, and IAM

Experience building AI agents, for example using Google's Agent Development Kit (ADK)

Experience with AWS Bedrock 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 EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

📌 Lead AI OPS Engineer (México)
🏢 Epam Systems
📍 México