Overview

We are building a Chief AI Engineer role to lead the creation of secure, cloud-native GenAI solutions and full-stack platform capabilities at scale.


You will architect and deliver AI agents, applications, and platform components that accelerate agent development, validation, and deployment. Join us to shape the technical direction and apply today

Responsibilities

  • Design and implement full-stack applications, AI agents, and platform components
  • Create developer tooling, CI/CD pipelines, and observability to enable safe, rapid iteration
  • Apply secure SDLC and privacy-by-design practices across delivery
  • Partner with product, UX, and domain experts to build customer-focused solutions
  • Leverage current LLM patterns to produce measurable customer value
  • Lead by example, guide architecture, mentor engineers, and own larger projects end to end

Requirements

  • Proven software engineering experience of 7+ years in professional environments
  • Strong full-stack development capability and hands-on cloud experience (AWS/Azure/GCP)
  • Expertise in at least one area, with solid proficiency across the others: AI Agent development and evaluation, Backend development, Frontend development
  • Deep knowledge of Cloud services (AWS/Azure/GCP), CI/CD and Infrastructure as Code, and Site Reliability Engineering (SRE)
  • Solid background in quality engineering/testing strategy, Secure SDLC, and privacy by design
  • Proven track record delivering secure, reliable, cloud-native systems to production
  • Upper-Intermediate English proficiency (B2)

Nice to have

  • Ability to deliver software products independently or within a small, fast-paced team
  • Experience taking AI agents from concept to production, including safety evaluations and iterative testing
  • Hands-on use of LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch
  • Background in traditional ML tasks such as training, deployment, and monitoring
  • Understanding of how LLMs work, common failure modes, and techniques like fine-tuning and model adaptation
  • Familiarity with regulatory frameworks such as SOC2, HIPAA, etc.

[GTS] Benefits (generic, except India)

  • 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