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    AI Platform Engineer, Enablement and Governance Operations

    Kraken
    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

    About Kraken

    Kraken is a cryptocurrency exchange platform that provides parachain auctions, staking, and index services.

    San Francisco, CA
    1000 - 5000
    Finance