Lead AI Engineer — TCO Agent Platform

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 Fin Ops 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.

You will drive core architectural execution, ensure strict adherence to SOX-adjacent financial controls, enforce Zero Trust security models via Model Armor and LiteLLM, and guide the engineering team through building high-scale, autonomous enterprise AI services.

Reporting directly to the Technical Product Manager, you will collaborate closely with Solution, Platform, and Enterprise Architects. You will also have a Senior Software Engineer under your direct subordination to collaborate with on solution implementation.

Req.#

• 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

• Experience:
  
  8+ years of software engineering experience with 3+ years in a technical leadership capacity building multi-agent AI systems, Fin Ops tools, or LLM-powered platforms
• Frameworks &
  
  Languages:
  
  Advanced proficiency in Python 3.11+, FastMCP, FastAPI, and Pydantic. Prior experience with object-oriented enterprise languages (e.g., Java) for seamless integration with core platform services and backend APIs
• AI/LLM Architecture:
  Hands-on experience with Google ADK, Vertex AI, LiteLLM Gateway, Model Armor guardrails, prompt engineering, structured tool output parsing, and agent execution boundaries
• Data & Cloud Platforms:
  Deep familiarity with the GCP ecosystem (Big Query, GKE, Workload Identity), SQL schema design (FOCUS standard preferred), and partitioned/clustered OLAP architectures
• Security & Governance:
  Experience implementing Zero Trust authentication (OAuth/KSA-to-GSA), RBAC, immutable audit logging, and API/MCP error specifications (RFC 7807/9457)
• Dev Ops & Infrastructure:
  Proficiency with Docker builds, GKE deployment patterns, Open Tofu/Terraform, and CI/CD pipelines
• Leadership
  
  Skills:
  
  Proven ability to coach, mentor, and influence teams beyond just writing and implementing solutions

• Experience with Lang Graph / Lang Chain
• Hands-on experience with Vertex AI
• Working knowledge of modern Dev Ops and CI/CD practices
• Familiarity with GCP infrastructure resources and their constraints, with the ability to identify optimal resources for designed AI agentic solutions

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible…