Senior AI Platform Architect – Multi-Agent Systems

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

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.