Lead AI Engineer - TCO Agent Platform

EPAM Systems

Remote · United StatesSalary not disclosedfull-timeEPAM Systems Careers (remote abroad)

As the Lead AI Engineer for our next-generation TCO Agent Platform, you will serve as the technical lead and multi-agent system architect for a greenfield, proactive FinOps AI platform. You will oversee the development, orchestration, and governance of an ecosystem comprising 8 specialized AI agents (e.g., Commitment Optimization, Financial Operations, Resource Optimization, Anomaly Detection) running within a multi-cloud GCP/AWS environment.

Responsibilities

Multi-Agent Architecture & Orchestration
Lead the design and implementation of 8 specialized agents using Python, FastMCP, and GCP Workload Identity.
Oversee inter-agent dependencies, prompt engineering lifecycle, tool definitions, and agent-to-service communication
LLM Governance & Tokenomics: Enforce centralized LLM routing via LiteLLM Gateway and Vertex AI Model Garden (Claude, Gemini).
Implement agent self-governance tracking systems (Tokenomics) to monitor and cap LLM operating costs within strict platform operational limits
Financial & Compliance Guardrails: Architect execution boundaries and strict segregation-of-duties workflows for SOX-adjacent processes (e.g., Journal Entry generation vs. human approval)
System Integration & Action Routing
Oversee the architecture of the platform’s Action Gateway—handling direct API invocations, event-driven workflows, and fallback ticketing (Jira, Slack, Teams)
Technical Leadership & Standards
Set coding, testing, and formatting standards across application repositories. Mentor Senior and Mid-level AI engineers and drive code reviews enforcing RFC standard error formats, API contracts, and schema compliance

Languages

Work format: Remote
Seniority: Lead
Posted: 29 Sept 2026
Last verified: In the last 5 days

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