Senior Platform Engineer (AI SDLC) at EPAM

Availability unverified

Help engineering teams adopt AI coding, review and testing tools. Relevant experience includes CI/CD, hands-on coding assistants, tool evaluation and coaching developers.

EPAM

Location: Hanoi / Ho Chi Minh City · Hybrid
Work arrangement: hybrid
Technologies: AI, CI/CD

Create a free application profile — Keep your skills and projects in a reusable profile. Private by default; you choose when to share. Apply for this job directly with the employer.

This opening is not confirmed as active. Check the employer source before applying.

Role overview

EPAM Systems is a leading global provider of digital platform engineering and software development services. We help global brands innovate and transform their core businesses through technology.

Join us as a Senior AI SDLC Enablement Engineer to embed AI-powered tooling directly into the software development lifecycle across client organizations. This is a hands-on practitioner position at the frontier of how software is built.

You will deploy, configure and champion EPAM’s AI SDLC tooling ecosystem like EPAM DIAL and other delivery accelerators. Act as the engine of continuous improvement by evaluating emerging tools, running structured evaluations and building the playbooks that keep EPAM Systems ahead of the curve.

Responsibilities

EPAM's AI SDLC tooling portfolio mastery to understand configuration, extensibility and real-world implementation.
Lead the deployment and adoption of AI SDLC tools within client engineering organizations through workflow assessment and integration point identification.
Embed AI assistance across the full software development lifecycle including code generation, review, test authoring and documentation.
Design and deliver structured enablement programs such as workshops, pair programming sessions and self-serve onboarding materials.
Evaluate emerging AI SDLC tooling options against real delivery use cases to inform EPAM's tooling roadmap.
Build and maintain a library of deployment playbooks, configuration templates and integration guides.
Track adoption and impact metrics such as cycle-time reduction and developer satisfaction to demonstrate value to client stakeholders.
Collaborate with EPAM's AI practice and account teams to translate capabilities into practical client proposals.

Qualifications

Demonstrable engineering background with strong hands-on ability across modern software delivery practices including CI/CD pipelines, code review and automated testing and agile delivery.
Practical expertise with AI coding assistants and SDLC tools like GitHub Copilot, Cursor, Codeium or Amazon Q Developer within real engineering workflows.
Proven capability to enable and coach engineering teams through workshops, pair programming and hands-on guidance.
Analytical approach to tool evaluation, success metric definition and presentation of findings to technical and non-technical stakeholders.
Strong communication practices to tailor technical content for audiences ranging from developers to executive teams.
Experience to adapt quickly to different codebases, delivery methodologies and team norms across multiple client environments.

Technology in this role

AI: Join us as a Senior AI SDLC Enablement Engineer to embed AI-powered tooling directly into the software development lifecycle across client .
CI/CD: Demonstrable engineering background with strong hands-on ability across modern software delivery practices including CI/CD pipelines, code review and automated testing and agile .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Senior Platform Engineer (AI SDLC) position at EPAM is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “EPAM Systems is a leading global provider of digital platform engineering and software development services. We help global brands innovate and transform their core businesses through technology.” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “EPAM's AI SDLC tooling portfolio mastery to understand configuration, extensibility and real-world implementation.”; “Lead the deployment and adoption of AI SDLC tools within client engineering organizations through workflow assessment and integration point identification.”; “Embed AI assistance across the full software development lifecycle including code generation, review, test authoring and documentation.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “Demonstrable engineering background with strong hands-on ability across modern software delivery practices including CI/CD pipelines, code review and automated testing and agile…”; “Practical expertise with AI coding assistants and SDLC tools like GitHub Copilot, Cursor, Codeium or Amazon Q Developer within real engineering workflows.”; “Proven capability to enable and coach engineering teams through workshops, pair programming and hands-on guidance.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A strong example explains what you personally owned, how you made trade-offs, how you validated the result and what you learned. If the posting specifies years of experience.

About EPAM

EPAM provides software development and digital platform engineering services for international clients.

Employer website

How to apply

Check the original posting to confirm the role is still open before applying.

Check employer posting

Source checked: 2026-09-21