AI Factory Architect & Code Quality Lead

EPAM Systems

United States

Remote

USD 180,000 - 250,000

Full time

6 days ago
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Job summary

EPAM Systems seeks a Chief AI Factory Engineer to oversee multi-agent teams delivering shipped, accurate, and maintainable code quickly while upholding quality standards. You will own architectural judgments, set trade-offs, and ensure correctness across planner, implementer, reviewer, and tester sub-agents.

You will validate outputs, intervene on drift, and report production metrics to demonstrate factory performance, maintaining architectural discipline and rapid, reliable delivery.

Qualifications

  • 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.

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.

Skills

Multi-agent workflows
Verification pipelines
Code review
Software architecture
Quality gates
Production code
English B2+

Tools

Linters
Type checks
Code diff review tools

Job description

EPAM Systems seeks a Chief AI Factory Engineer to oversee multi-agent teams delivering shipped, accurate, and maintainable code quickly while upholding quality standards. You will own architectural judgments, set trade-offs, and ensure correctness across planner, implementer, reviewer, and tester sub-agents.

You will validate outputs, intervene on drift, and report production metrics to demonstrate factory performance, maintaining architectural discipline and rapid, reliable delivery.

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