Senior AI Platform Engineer

You will own and build the technical capability layer that enables teams to use agentic AI safely at scale. You will design and operate connectors, execution environments, and access controls for LLM-powered agents. You will productize onboarding, define deployment and evaluation standards, and set reliability and observability for AI workflows. You will partner with Security, DevOps, and IT to implement governance, audit trails, and safe deployment patterns, and act as the technical escalation point for platform issues.

Responsibilities

• Own the connector and service integration layer that powers AI workflows
• Design and ship execution environments for agents and autonomous workflows
• Build reusable platform services, golden paths, and self-service templates
• Productize onboarding for developers and non-developers
• Define and enforce standards for agent execution, evaluation loops, and deployment
• Partner with Security and IT to deliver deployable patterns for higher-risk AI capabilities
• Own AI governance: access controls, audit trails, approval criteria, and deployment boundaries
• Set reliability, observability, and operational standards for AI infrastructure
• Act as technical escalation for onboarding or platform rollout issues
• Turn exception handling into repeatable operational paths

Requirements

• 8+ years in software, platform, infrastructure, or adjacent engineering roles
• Hands-on experience building agentic AI systems, including LLM-powered workflows, tool-calling agents, evaluation loops, or autonomous execution
• Direct experience with Google Cloud (GCP)
• Strong experience with APIs, auth, OAuth, secrets, CLI tooling, and deployment patterns
• Cloud-native systems experience with containers, orchestration (Kubernetes), and infrastructure-as-code
• Experience implementing AI governance controls such as access boundaries, audit logging, and approval workflows
• Excellent communication skills and ability to work across engineering, security, and non-technical stakeholders
• Ability to operate in both fast-moving low-process environments and structured compliance-aware environments

Benefits

• Stock options
• Health benefits
• One-time home-office setup (USD 500)
• Monthly stipend (USD 150 via Brex Card)