Poland•Brazil•United Arab Emirates•Ireland•Peru•Sweden•Colombia•Argentina•Romania•Cyprus
Remote
Senior
Full Time
AI platformSaaS administrationPythonIdentity and Access ManagementTechnical enablementEnterprise software
Requirements
- •Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform
- •Ability to build and ship working software, proficient in Python or comparable language
- •Experience with version control, CI, containers, and secrets management
- •Experience integrating against LLM and SaaS APIs with familiarity of agent and tool use patterns including MCP or equivalent
- •Working knowledge of identity and access management including Okta or equivalent IdP, OAuth, SCIM, SSO, and federated machine identity
- •Operational discipline including understanding intake queues, SLAs, runbooks, escalation hygiene, and documentation
- •Genuine teaching ability to explain technical capabilities to diverse audiences
- •Clear written communication for technical documentation, runbooks, and policy pages
- •Good judgment about what to build distinguishing needed capabilities from demos
What You'll Do
- •Design and build the technical layer of the AI platform, from integration surface to production runbook
- •Identify capability gaps and close them by evaluating vendors or building internally
- •Own the governed integration gateway as an engineering surface including connector onboarding, authentication flows, reliability, and vendor escalation
- •Build internal tooling that extends the platform such as agent scaffolding, reusable skills, prompt assets, evaluation harnesses, provisioning automation, and integrations
- •Configure and operate tiered spend controls across the AI estate including setting caps, alerting rules, managing exception queues, and monthly reconciliation
- •Implement technical controls behind policy on data handling, retention, and model eligibility including identity integration, SSO, SCIM, entitlement, and workspace configuration
- •Work directly with teams to unblock them by understanding workflows and building or configuring enabling tools
- •Run technical enablement including deep dives for tool rollouts, office hours for model releases, and authority over engineering detail in knowledge base material
- •Administer the enterprise AI estate end to end including model turn ups, feature enablement, deprecation, provisioning queue, vendor configurations, and seat true ups
Nice to Have
- •Experience standing up an internal developer or AI platform including self service and guardrail layers
- •Exposure to FinOps or software asset management practice
- •Experience with low code or workflow automation platforms
- •Atlassian administration experience in Jira, Confluence, or JSM
- •Familiarity with regulated industry audit and evidence work in financial services
