AI Platform Engineer
Core
Design and build the technical layer of an enterprise AI platform, managing integration surfaces, governance, and operational controls for AI tooling across a global financial organization.
Role type
Senior Platform Engineer (Enterprise AI Infrastructure)
Builds
A governed integration gateway, internal AI tooling (agent scaffolding, evaluation harnesses), and tiered spend control systems for the AI estate.
Domain
Financial Services / Enterprise AI Infrastructure
Deliverable
production ML models
Required skills
Python, LLM and SaaS API integration, Agent/Tool use patterns (MCP), Identity and Access Management (Okta, OAuth, SCIM, SSO), CI/CD, Containers, Secrets management, Technical enablement, Runbook creation.
Preferred skills
Internal developer platform experience, FinOps, Low-code automation, Atlassian administration, Regulated industry audit experience.
Technologies
Python, MCP, Okta, OAuth, SCIM, SSO, Jira, Confluence, Kubernetes, Docker
Responsibilities
Design and build the technical layer of the AI platform from integration surface to production runbook; Own the governed integration gateway including connector onboarding and authentication flows; Configure and operate tiered spend controls across the AI estate; Implement technical controls for data handling, retention, and model eligibility; Work directly with teams to unblock them and build enabling tooling; Run technical enablement including deep dives and office hours; Administer the enterprise AI estate end to end.
Seniority
Senior, hands-on IC