Chief AI Factory Engineer

EPAM Systems; United States; Remote; USD 180,000 - 250,000; Full time

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

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