Lead AI Engineer

EPAM Systems; Colombia; On-site; COP 180,000,000 - 360,000,000; Full time

Benefits offered by this job

Healthcare benefits

Global career opportunities

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems in Colombia seeks a Lead AI Engineer to architect and deliver a greenfield multi-agent AI platform powering proactive FinOps workflows in a multi-cloud environment.

You will lead agent orchestration, governance, security, and high-scale API services while mentoring engineers and coordinating with stakeholders to ensure scalability and compliance.

Qualifications

• 5+ years of software engineering with leadership in AI/platform systems.
• Ability to mentor engineers and uphold engineering standards.
• Strong ownership to drive architecture from design to delivery.
• Advanced Python (3.11+) for production AI services.
• Strong API design and service contracts.

Responsibilities

• Lead architecture and delivery of a multi-agent AI platform.
• Design agent orchestration patterns and tool contracts.
• Implement governance controls and cost tracking for AI systems.
• Define security guardrails and Zero Trust patterns.
• Mentor senior and mid-level engineers and provide technical direction.
• Collaborate with stakeholders to align interfaces and scalability.
• Oversee observability, logging, and reliability of autonomous services.

Skills

AI platform leadership

Python

FastAPI

Google Cloud

Security and governance

API design

Team leadership

English communication

Tools

Docker

GKE

BigQuery

LangChain

LangGraph

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Lead AI Engineer to architect and deliver a greenfield multi-agent AI platform that powers proactive FinOps workflows in a multi-cloud environment. You will lead agent orchestration, governance, security, and high-scale API services while mentoring engineers.

Responsibilities

• Lead the architecture and delivery of a multi-agent AI platform with multiple specialized agents
• Design agent orchestration patterns including tool contracts, inter-agent dependencies, and service communication
• Implement LLM governance controls including centralized routing and cost tracking to enforce operational limits
• Define financial and compliance guardrails with segregation-of-duties workflows and auditable approval paths
• Build secure action-routing services that invoke APIs, trigger event-driven workflows, and integrate with ticketing tools
• Enforce Zero Trust security patterns and safety guardrails across agent execution and data access
• Set coding, testing, and API standards and drive adoption through reviews and reference implementations
• Mentor senior and mid-level engineers and provide hands-on technical direction during delivery
• Collaborate with architecture stakeholders to align platform interfaces, scalability goals, and integration constraints
• Oversee observability and operational readiness including logging, monitoring, and failure handling for autonomous services

Requirements

• 5+ years of software engineering experience with 1+ years in technical leadership for AI or platform systems
• Proven leadership skills to mentor engineers and drive code reviews and engineering standards
• Strong project ownership skills to drive architecture from design through delivery and operational readiness
• Advanced Python skills (Python 3.11+) for building production-grade AI services
• Strong FastAPI skills to design secure, scalable service endpoints and integrations
• Hands-on AI Solution Engineering experience delivering LLM-powered platforms and agentic systems
• Strong Solution Architecture skills to define system boundaries, service contracts, and scaling patterns
• Strong Google Cloud Platform experience including workload identity, managed AI services, and production operations
• Solid security and governance knowledge including Zero Trust concepts, RBAC, and immutable audit logging
• Strong API design skills including consistent error formats and schema-first contracts
• Clear communication skills to align stakeholders and translate requirements into technical plans
• Upper-Intermediate English (B2) to collaborate effectively in spoken and written communication

Nice to have

• Docker
• Google Kubernetes Engine
• Google Cloud BigQuery
• LangChain
• LangGraph

We offer

• 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

EPAM 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.