Chief AI Factory Engineer

EPAM Systems; Colombia; Remote; COP 18,000,000 - 24,000,000; Full time

Job summary

EPAM Systems in Colombia seeks a Chief AI Factory Engineer to oversee distributed AI agent teams, ensuring shipped, accurate, and maintainable code with strong architectural judgment and ownership of design trade-offs.

You will embed verification in every loop, define acceptance criteria, and report on production metrics, while guiding planners, implementers, reviewers, and testers to maintain high quality and reliability.

Qualifications

• 7+ years of professional software engineering experience.
• Experience coordinating multi-agent workflows.
• Proficiency in creating and sustaining verification pipelines with tests, linters and type checks.
• Experience reviewing code diffs, questioning automated decisions, and fixing agent drift.
• Ability to establish acceptance criteria and quality gates for AI-assisted development.
• Ability 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 coordination

Verification pipelines

Software architecture

Code review & debugging

English proficiency

Tools

Tests

Linters

Type checks

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.ResponsibilitiesBreak down work into specs and tasks executable by agents, including planner, implementer, reviewer, and tester sub-agentsOversee agent output through reading diffs, questioning decisions, and intervening when an agent deviates from intentEmbed verification into every loop, using tests, linters, type checks, and review agents before trusting any outputEstablish acceptance criteria to validate agent-generated work before integrationTake ownership of architectural decisions, design tradeoffs, and correctness while delegating code generation to agentsComplete tasks manually when necessary to determine when an agent's output is incorrectContinuously refine the personal, lightweight factory setup based on daily usageGauge success through shipped repositories, defects identified, throughput, and overall code qualityProvide reports on specs, tests, review outcomes, and production metrics to showcase factory performanceRequirements7+ years of professional software engineering experience, encompassing hands-on coding and architectural designSkill in coordinating multi-agent workflows, including planner, implementer, reviewer, and tester sub-agentsProficiency in creating and sustaining verification pipelines, including tests, linters, and type checksExperience reviewing code diffs, questioning automated decisions, and fixing agent driftKnowledge of software architecture, design tradeoffs, and correctness principlesAbility to establish acceptance criteria and quality gates for automated or AI-assisted developmentCompetence to write and deploy production code independently without depending on agentsEnglish proficiency at B2 level or higherWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.