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