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.#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 communicationLLM 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

Requirements

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 APIsAI/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

Nice to have

Experience with Lang Graph / Lang Chain Hands -on experience with Vertex AIWorking 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

We offer

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