Kerja Sepenuh Masa, AI Platform - Enablement Engineer di Epam Systems, Inc. Federal Territory - Maukerja

You will build the foundations every other AI engineer at the company depends on: the model gateway, the evaluation harness, the observability stack, the safety guardrails and the internal accelerators that turn what would be a six-week setup into a one-day setup.

This is the role most firms forget to invest in — and quietly pay for, in slow engagements, inconsistent quality, and engineers reinventing the same plumbing on every project. We are not making that mistake.

Responsibilities

• Design, build, and operate the shared platform that our AI engineering teams use across every customer engagement. This includes: a model gateway (multi-provider routing, fallback, cost and rate-limit controls), an evaluation harness, prompt and dataset versioning, observability and tracing for AI workloads, safety and policy guardrails, and a small set of internal accelerators (templates, libraries, scaffolding)
• Make the platform a force multiplier. Your work is successful when an engineer joining a new engagement can be in production with a credible AI feature in days, not weeks
• Own the platform as a product. Set roadmaps, gather feedback from internal users, write good docs, run office hours, deprecate things that have stopped pulling their weight
• Set the standards for how we evaluate, monitor, and operate AI systems — and make those standards easy to follow because the platform makes the right thing the default
• Partner closely with the Learning & Evaluations function and with security, legal, and data-governance teams. Make the boring-but-essential things — audit trails, data lineage, tenancy, secret handling — work the same way every time
• Contribute to our hiring bar for platform engineers across the practice

Requirements

• Substantial experience building and operating platforms that other engineers depend on — internal developer platforms, ML platforms, data platforms, or similar
• Hands-on familiarity with the AI infrastructure problem space: model providers, vector databases, embedding models, agent frameworks, evaluation tools, prompt management, observability for LLM workloads
• Strong systems engineering: distributed systems, latency/cost tradeoffs, reliable service design, infrastructure-as-code, CI/CD
• A product mindset. You measure success by adoption and by the time-to-first-value of internal users — not by how clever the architecture is
• Excellent written communication. You will write the docs, the design proposals, and the post-mortems that the rest of the practice depends on
• Pragmatism. You build the simplest thing that will work, and you make it possible to replace later

Nice to have

• Experience with one or more of: Kubernetes, Terraform, Pulumi, Temporal, observability stacks (OpenTelemetry, Datadog, Honeycomb), policy engines (OPA), secrets management
• Prior experience as the founding platform engineer on a fast-growing AI team
• Background in security, compliance, or data governance for AI systems
• Open-source contributions, especially to AI infrastructure projects

We offer

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023.
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us

Life at EPAM

• EPAM is a leader in the fastest-growing segment (product development/digital platform engineering) of the IT industry. We acquired Just-BI in 2021 to reinforce our leading position as a global Business Intelligence services provider and have been growing rapidly. With a talented multinational team, we provide data and analytics expertise
• We are currently involved in end-to-end BI design and implementation projects in major national and international companies. We are proud of our entrepreneurial start-up culture and are focused on investing in people by creating continuous learning and development opportunities for our employees who deliver engineering excellence for our clients