Principal Engineer, Agent Platform

About the Role

This is a hands-on engineering role focused on architecture, software design, and platform development. You will work across AI, distributed systems, cloud infrastructure, security, and governance to deliver a platform that enables product and engineering teams to move quickly while meeting enterprise standards for security, compliance, and operational excellence.

What You'll Do

• Design and build core platform services that enable enterprise AI agent development and operations

• Define the architecture, engineering patterns, and technical standards for the AI agent platform

• Develop and maintain a centralized model gateway for routing, governance, resiliency, and cost management

• Build agent runtime capabilities that support long-running workflows, orchestration, and human-in-the-loop processes

• Design secure identity, authorization, and policy enforcement mechanisms for agents and tools

• Establish platform capabilities for context management, memory, retrieval, and data isolation

• Create testing, evaluation, and release frameworks that ensure agent quality, safety, and performance

• Implement observability, auditability, and operational tooling for monitoring and troubleshooting agent behavior

• Partner with Security, Data Governance, and Cloud Infrastructure teams to define platform controls and guardrails

• Mentor engineers, influence technical direction, and raise engineering standards across multiple teams

Who You Are

• Extensive experience building and operating large-scale distributed systems in production

• Strong software engineering background with expert-level Python development skills

• Hands-on experience delivering production LLM, generative AI, or agent-based solutions

• Deep understanding of agent architectures, orchestration patterns, and enterprise AI platforms

• Experienced with retrieval systems, embeddings, vector search, and context management strategies

• Knowledgeable in AI evaluation, testing methodologies, and quality assurance for non-deterministic systems

• Proficient with Google Cloud services including Vertex AI, Gemini, GKE, Cloud Run, BigQuery, and Pub/Sub

• Experienced with cloud security, workload identity, OAuth, policy-as-code, and secure-by-design architectures

• Strong understanding of distributed system reliability patterns, including resiliency, retries, observability, and fault tolerance

• Proven ability to influence technical direction, drive adoption of architectural standards, and lead through expertise rather than authority