Lead AI Engineer

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

Benefits

• 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