AI Platform Engineer, Enablement and Governance Operations

As an AI Platform Engineer focused on Enablement and Governance Operations at Kraken (Payward), you design and operate the technical infrastructure that enables the organization to safely use AI at scale. You work within Enterprise Transformation, which owns Kraken's internal AI platform. The team has built tiered spend controls and a governed integration gateway; your role is to close the gap between what's possible with new AI capabilities and what the organization can safely deploy.

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, including agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and 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, running monthly reconciliation against vendor commitments, and eliminating single-author risk in cap automation.
• Implement technical controls behind policy on data handling, retention, and model eligibility through identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration.
• Work directly with teams to unblock them by understanding workflows and building or configuring solutions that enable real leverage from the 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 queues, vendor configurations, and seat reconciliation.

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 in Python or a comparable language, with everyday familiarity with version control, CI, containers, and secrets management.
• Experience integrating against LLM and SaaS APIs with working knowledge of agent and tool use patterns, including MCP or equivalent tool calling architectures.
• Working knowledge of identity and access systems: Okta or equivalent IdP, OAuth, SCIM, SSO, and federated machine identity.
• Operational discipline including understanding of intake queues, SLAs, runbooks, escalation hygiene, and the instinct to document fixes.
• Genuine teaching ability and the capacity to explain technical capabilities in multiple ways to different audiences (compliance, traders, engineers).
• Clear written communication for technical documentation, runbooks, and policy pages.
• Sound judgment about what to build and what to avoid, distinguishing between capabilities the organization genuinely needs and demos that will be abandoned.

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 (Payward)

Payward is the parent company of Kraken, NinjaTrader, Breakout, xStocks, Payward Services, and CF Benchmarks. Kraken, founded in 2011, is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions globally, offering spot trading, margin, futures, staking, and OTC services for both individual investors and institutional clients.