AI Platform Engineer, Enablement and Governance Operations

Requirements

• Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform
• Demonstrated ability to build and ship working software, not just configure vendor products. Python or a comparable language should be natural to you
• Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use patterns, including MCP or equivalent tool calling architectures
• Working knowledge of identity and access. Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity are things you've worked with
• Operational discipline. You understand intake queues, SLAs, runbooks, escalation hygiene, and the instinct to document a fix the first time you make it
• Genuine teaching ability. You can explain a technical capability three different ways on the same day to compliance, traders, and backend engineers
• Clear written communication for technical documentation, runbooks, and policy pages
• Judgment about what to build. You can tell the difference between a capability the organization actually needs and a demo that will be abandoned in a month

Nice to Haves

• Experience standing up an internal developer or AI platform, including the self service and guardrail layers
• Exposure to FinOps or software asset management practice
• Experience with low code or workflow automation platforms
• Atlassian administration depth in Jira, Confluence, or JSM
• Familiarity with regulated industry audit and evidence work in financial services

What You'll Be Doing

• Design and build the technical layer of the AI platform, from integration surface to production runbook
• Own the governed integration gateway as an engineering surface
• Build internal tooling that extends the platform
• Configure and operate tiered spend controls across the AI estate
• Implement the technical controls behind policy on data handling, retention, and model eligibility
• Work directly with teams to unblock them
• Run technical enablement
• Administer the enterprise AI estate end to end

Perks and Benefits

• No specific perks and benefits mentioned in the job description