AI Platform Engineer, Enablement and Governance Operations

As an AI Platform Engineer focused on Enablement and Governance Operations at Kraken, you own the technical infrastructure that makes enterprise AI tooling safe and usable across the organization. Enterprise Transformation has built a governed integration gateway in production and implemented tiered spend controls; your role is to close the gaps between what's technically possible and what the organization can reliably deploy at scale.

What you'll do

• Design and build the technical layer of the AI platform, from integration surface to production runbook, identifying capability gaps and closing them through vendor evaluation or internal development.
• Own the governed integration gateway as an engineering surface, handling connector onboarding, authentication flows including OAuth and federated identity, reliability, and vendor escalation.
• Build internal tooling that extends the platform, such as agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations with systems of record.
• Configure and operate tiered spend controls across the AI estate, setting caps by role and tier, building alerting rules, managing exception queues, and running monthly reconciliation against vendor commitments.
• Implement technical controls for data handling, retention, and model eligibility, including identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration where retention terms differ by model class.
• Work directly with teams to unblock them by understanding workflows and building or configuring solutions that enable them to get real leverage from the tools.
• Run technical enablement through deep dives for tool rollouts, office hours for model releases, and authority over the 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.

What you bring

• Enterprise SaaS administration experience 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, along with version control, CI, containers, and secrets management.
• 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, including Okta or equivalent IdP, OAuth, SCIM, SSO, and federated machine identity.
• Operational discipline with understanding of 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, distinguishing between capabilities the organization actually needs and demos that will be abandoned in a month.

Nice to have

• 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.

About Kraken

Kraken, part of the Payward group, is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions globally. It offers spot trading, margin, futures, staking, and OTC services for both individual investors and institutional clients.