Lead AI Engineer

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a Lead AI Engineer to architect and deliver a greenfield, multi-agent AI platform for proactive FinOps workflows across a multi-cloud environment.

You will mentor engineers while leading agent orchestration, governance, security, and high-scale API services. The role requires strong Python and FastAPI expertise, hands-on AI solution engineering, and solid GCP experience to govern workflows, with zero-trust security and auditable rights management at the core.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

FastAPI

LLM platforms

Agent orchestration

RBAC

Zero Trust

API design

GCP

Docker

Kubernetes

LangChain

BigQuery

Herramientas

Docker

GKE

Kubernetes

BigQuery

LangGraph

LangChain

Descripción del empleo

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.ResponsibilitiesLead the architecture and delivery of a multi-agent AI platform with multiple specialized agentsDesign agent orchestration patterns including tool contracts, inter-agent dependencies, and service communicationImplement LLM governance controls including centralized routing and cost tracking to enforce operational limitsDefine financial and compliance guardrails with segregation-of-duties workflows and auditable approval pathsBuild secure action-routing services that invoke APIs, trigger event-driven workflows, and integrate with ticketing toolsEnforce Zero Trust security patterns and safety guardrails across agent execution and data accessSet coding, testing, and API standards and drive adoption through reviews and reference implementationsMentor senior and mid-level engineers and provide hands-on technical direction during deliveryCollaborate with architecture stakeholders to align platform interfaces, scalability goals, and integration constraintsOversee observability and operational readiness including logging, monitoring, and failure handling for autonomous servicesRequirements5+ years of software engineering experience with 1+ years in technical leadership for AI or platform systemsProven leadership skills to mentor engineers and drive code reviews and engineering standardsStrong project ownership skills to drive architecture from design through delivery and operational readinessAdvanced Python skills (Python 3.11+) for building production-grade AI servicesStrong FastAPI skills to design secure, scalable service endpoints and integrationsHands-on AI Solution Engineering experience delivering LLM-powered platforms and agentic systemsStrong Solution Architecture skills to define system boundaries, service contracts, and scaling patternsStrong Google Cloud Platform experience including workload identity, managed AI services, and production operationsSolid security and governance knowledge including Zero Trust concepts, RBAC, and immutable audit loggingStrong API design skills including consistent error formats and schema-first contractsClear communication skills to align stakeholders and translate requirements into technical plansUpper-Intermediate English (B2) to collaborate effectively in spoken and written communicationNice to haveDockerGoogle Kubernetes EngineGoogle Cloud BigQueryLangChainLangGraphWe 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.