AI Solutions Architect for Developer Productivity

EPAM Systems

Mexico

On-site

PHP 11,090,572 - 14,787,429

Full time

14 days+

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Job summary

EPAM Systems is seeking a Chief AI Solution Engineer to evaluate and roll out AI-assisted tooling across IDEs and CI/CD, partnering with DevOps and engineering leads. You will lead adoption of AI-enabled workflows and coach teams through change, while measuring velocity gains and ensuring safe, ethical AI usage.

The role requires deep experience in full-stack development, familiarity with modern front-end and back-end stacks, and a proven ability to drive engineering culture through disruptive

Qualifications

  • 7+ years of experience as a Full-Stack Software Engineer or similar leadership role.
  • Experience leading engineering teams and DevEx initiatives.
  • Proficiency with React, TypeScript, Next.js and microservices.
  • English at B2 level or higher.
  • Experience with AI tooling and LLM APIs is a plus.

Responsibilities

  • Research, assess, and roll out AI-assisted tools across front-end and back-end teams.
  • Design and automate AI-enabled software lifecycle workflows (tests, docs, PR summaries).
  • Integrate AI-driven analysis, bug detection, and linting into CI/CD pipelines.
  • Act as internal consultant, publish prompt guidelines and safe usage practices.
  • Measure developer velocity, lead time, and sentiment gains from AI initiatives.
  • Lead adoption by coaching teams through change and evaluating new tech.

Skills

Full-Stack Software Engineer
Technical Lead
DevEx Engineer
AI Technologies
React
TypeScript
Next.js
APIs
Microservices
CI/CD
Prompt Engineering
LLMs

Tools

VS Code
JetBrains
Git
CI/CD tools
OpenAI API
Anthropic
Ollama
RAG

Job description

EPAM Systems is seeking a Chief AI Solution Engineer to evaluate and roll out AI-assisted tooling across IDEs and CI/CD, partnering with DevOps and engineering leads. You will lead adoption of AI-enabled workflows and coach teams through change, while measuring velocity gains and ensuring safe, ethical AI usage.

The role requires deep experience in full-stack development, familiarity with modern front-end and back-end stacks, and a proven ability to drive engineering culture through disruptive

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