AI Platform Engineer, Enablement & Governance Ops

Salary: £47,000 - 87,000 per year

Requirements:

• Experience administering enterprise SaaS at 1,000+ seats, ideally including an AI or LLM platform.
• Ability to build and ship working software, not only configure vendor products; proficiency in Python or a comparable language, with everyday use of version control, CI, containers, and secrets management.
• Experience integrating with LLM and SaaS APIs, and working familiarity with agent and tool-use patterns, including MCP or equivalent tool-calling architectures.
• Working knowledge of identity and access management, including Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity.
• Operational discipline, including familiarity with intake queues, SLAs, runbooks, and escalation practices, and a habit of documenting fixes.
• Ability to explain technical capabilities to audiences such as compliance teams, traders, and backend engineers.
• Clear written communication for technical documentation, runbooks, and policy pages.
• Good judgment in deciding which capabilities the organization needs to build or adopt.
• Nice to have: Experience establishing an internal developer or AI platform, including self-service and guardrail layers.
• Nice to have: Exposure to FinOps or software asset management.
• Nice to have: Experience with low-code or workflow automation platforms.
• Nice to have: In-depth Atlassian administration experience with Jira, Confluence, or JSM.
• Nice to have: Familiarity with regulated-industry audit and evidence work in financial services.

Responsibilities:

• Design and build the technical layer of our AI platform, from integrations to production runbooks, identifying capability gaps and addressing them through vendor evaluation or internal development.
• Own our governed integration gateway, including connector onboarding, authentication flows such as OAuth and federated identity, reliability, and vendor escalations.
• Build internal platform tooling, including agent scaffolding, reusable skills and prompt assets, model-change evaluation harnesses, provisioning automation, and integrations with systems of record.
• Configure and operate tiered AI spend controls, including role- and tier-based caps, alerting, exception queues, monthly vendor-commitment reconciliations, and cap-automation improvements.
• Implement technical controls for data handling, retention, and model eligibility, including identity integration, SSO and SCIM, role- and tier-based entitlements, and workspace configuration.
• Work directly with teams to understand their workflows and build or configure tools that help them use AI effectively.
• Deliver technical enablement through rollout deep dives, model-release office hours, and authoritative engineering guidance in knowledge-base materials.
• Administer our enterprise AI estate end to end, including model turn-ups, feature enablement and deprecation, provisioning queues, vendor configurations, and seat true-ups.

Technologies:

• AI
• Atlassian
• Backend
• Confluence
• JIRA
• LLM
• Machine Learning
• MCP
• OAuth
• Python
• API
• REST

More:

We are Payward, the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services, and CF Benchmarks. For 15 years, we have built financial infrastructure intended to advance an open, global financial system. Kraken, founded in 2011, is a global crypto platform serving more than 10 million individuals and institutions, with spot trading, margin, futures, staking, and OTC services. You would join our Enterprise Transformation team, which owns Krakens internal AI platform, in a full-time, remote Engineering role in AI & Machine Learning. The position is open to candidates in Poland, Argentina, Brazil, Bulgaria, Canada, Chile, Colombia, Cyprus, Czech Republic, Hungary, Ireland, Lithuania, Mexico, Peru, Portugal, Romania, South Africa, Spain, Sweden, Switzerland, the United Arab Emirates, and the United Kingdom. We welcome applicants who may not meet every listed qualification, hire based on merit, and are an equal opportunity employer. We consider qualified applicants with criminal histories consistently with applicable requirements, including the San Francisco Fair Chance Ordinance. Applications are accepted on an ongoing basis unless the posting states a deadline; job-related skills or work-style assessments may be part of our hiring process.

last updated 40 week of 2026