AI Engineer Manager (Python)

We are looking for an AI Engineering Manager to architect and deliver a greenfield multi-agent AI platform focused on proactive Fin. Ops outcomes in a multi-cloud environment. You will guide agent orchestration, governance, security controls, and service integrations while mentoring engineers.

Responsibilities

Design the end-to-end architecture for a multi-agent AI platform with specialized agents and clear execution boundaries Lead the implementation of agent orchestration, inter-agent dependencies, tool definitions, and agent-to-service communication Enforce centralized LLM routing and governance with cost controls, monitoring, and operating limits Define compliance guardrails with segregation-of-duties workflows and auditable approval paths for financial-adjacent actions Architect the action-routing layer for direct API execution, event-driven workflows, and ticket-based fallbacks Establish coding, testing, formatting, and API/schema standards and drive rigorous code reviews Implement Zero Trust security controls, identity and access patterns, and immutable audit logging across services Guide prompt and tool lifecycle practices to improve reliability, structured outputs, and safe execution Coordinate integration with platform services and backend APIs to ensure scalable enterprise adoption Mentor engineers through technical design, reviews, and delivery planning Validate error handling and contract compliance using standard specifications for APIs and MCP interactions Requirements 8+ years of software engineering experience and 3+ years in technical leadership for LLM or agent-based platforms Proven leadership skills to mentor engineers and drive code reviews and engineering standards Hands-on project experience delivering greenfield, enterprise-grade AI services in cloud environments Advanced Python 3.

11+ skills with FastAPI and agent/service integration patterns Strong solution architecture skills for multi-agent orchestration and service-to-agent communication Solid AI solution engineering skills including prompt lifecycle, tool definitions, and structured outputs Google Cloud Platform experience including Vertex AI and secure identity patterns for workloads FastMCP experience building agent toolchains and MCP-based integrations Strong security and governance knowledge including Zero Trust, RBAC, and immutable audit logging Clear communication skills to align technical decisions across engineering and stakeholder groups Upper-Intermediate English proficiency (B2) Ability to coach and influence teams beyond hands-on implementation Nice to have Docker Google Kubernetes Engine Google Cloud Big.

Query Lang. Chain Technical Leadership