Lead AI Engineer

EPAM Systems

Brasil

Remote

BRL 260,000 - 380,000

Full time

4 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off & sick leave
Upskilling & certification courses
LinkedIn Learning access

Job summary

EPAM Systems, Inc. is seeking a Lead AI Engineer to architect a greenfield, multi-agent AI platform powering proactive FinOps workflows across multi-cloud environments. You will lead agent orchestration, governance, security, and high-scale API services while mentoring engineers.

You will drive architecture to production, implement centralized routing and cost tracking, and define auditable approval paths. Strong leadership and hands-on delivery are essential.

Qualifications

  • 5+ years of software engineering experience with 1+ years in AI/platform leadership.
  • Proven leadership to mentor engineers and drive code reviews and standards.
  • Advanced Python (3.11+) for production-grade AI services.
  • Strong FastAPI skills for secure, scalable endpoints.
  • GCP experience including workload identity and production operations.
  • Security/governance knowledge including Zero Trust, RBAC, and immutable audit logging.
  • Excellent communication in English (B2+).

Responsibilities

  • Architect and deliver a multi-agent AI platform with specialized agents.
  • Design orchestrations with tool contracts and inter-agent communication.
  • Implement LLM governance controls and auditable workflows.
  • Set security guardrails and Zero Trust patterns across services.
  • Mentor senior engineers and provide hands-on technical direction.
  • Oversee observability, logging, monitoring, and failure handling for autonomous services.

Skills

Python
FastAPI
LLM/AI systems
GCP (Workload Identity)
Security and governance
API design
Communication (English)
Orchestration patterns

Tools

Docker
Google Kubernetes Engine
BigQuery
LangChain
LangGraph

Job description

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.
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