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 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.ResponsibilitiesDesign self-service onboarding for teams and agents, from initial request through to functional accessAutomate key provisioning, rotation, and permission updatesTune rate limits and quotas as adoption and usage increaseDeploy and configure models including Vertex AI endpoints, vendor fallbacks, and Model ArmorOperate MCP servers behind the gateway under the same governance rules as modelsDevelop Python extensions that integrate the gateway with other enterprise systemsMaintain the full platform as code using Terraform, Helm, and JenkinsMonitor and protect production health across availability, latency, and cost with alertingAssist teams using the platform and convert recurring questions into automationRequirementsProven 5+ years of experience using Python for automation, extensions,



and integrationsSolid 5+ years of SRE experience with a track record of keeping production systems reliableDeep expertise in Kubernetes, preferably on GKEHands-on experience with Google Vertex AI, especially endpoints for model serving and Model ArmorPractical proficiency with Terraform, Helm, and CI/CD using JenkinsWorking knowledge of GenAI/Agentic AI concepts (patterns, frameworks, protocols)Production exposure to an AI gateway (LiteLLM, EPAM DIAL or similar) is highly appreciatedVery strong communication skills with the ability to explain platform behavior clearly to teams who use it dailyEnglish proficiency at B2 level (Upper-Intermediate) or higherNice to haveFamiliarity with GCP beyond GKE and Vertex AI, such as BigQuery, Cloud Run, and IAMExperience building AI agents, for example using Google's Agent Development Kit (ADK)Experience with AWS BedrockWe offerInternational projects with top brandsWork with general teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.#J-18808-Ljbffr

📌 Lead Ai Ops Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia