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Chief AI Factory Engineer

Role overview

Qualifications

  • 7+ years of professional software engineering experience
  • Skill in coordinating multi-agent workflows
  • Proficiency in creating and sustaining verification pipelines
  • Knowledge of software architecture and design tradeoffs

Responsibilities

  • Break down work into specs and tasks executable by agents
  • Oversee agent output and intervene when necessary
  • Establish acceptance criteria to validate agent-generated work
  • Provide reports on specs, tests, review outcomes, and production metrics

Key facts

Hard skills

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We're looking for a Chief AI Factory Engineer who will oversee, limit, and check teams of AI agents to deliver shipped, accurate, and maintainable code quickly while maintaining quality standards. In this position, you'll approach software as the end product and view agents as instruments at your disposal, maintaining architectural judgment, taking ownership of design trade-offs, and bearing responsibility for correctness in all outputs. Responsibilities Break down work into specs and tasks executable by agents, including planner, implementer, reviewer, and tester sub-agents Oversee agent output through reading diffs, questioning decisions, and intervening when an agent deviates from intent Embed verification into every loop, using tests, linters, type checks, and review agents before trusting any output Establish acceptance criteria to validate agent-generated work before integration Take ownership of architectural decisions, design tradeoffs, and correctness while delegating code generation to agents Complete tasks manually when necessary to determine when an agent's output is incorrect Continuously refine the personal, lightweight factory setup based on daily usage Gauge success through shipped repositories, defects identified, throughput, and overall code quality Provide reports on specs, tests, review outcomes, and production metrics to showcase factory performance Requirements 7+ years of professional software engineering experience, encompassing hands-on coding and architectural design Skill in coordinating multi-agent workflows, including planner, implementer, reviewer, and tester sub-agents Proficiency in creating and sustaining verification pipelines, including tests, linters, and type checks Experience reviewing code diffs, questioning automated decisions, and fixing agent drift Knowledge of software architecture, design tradeoffs, and correctness principles Ability to establish acceptance criteria and quality gates for automated or AI-assisted development Competence to write and deploy production code independently without depending on agents English proficiency at B2 level or higher

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