AI Platform Engineer – Enablement and Governance Operations

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and develop the technical framework of Kraken's internal AI platform, encompassing everything from integration surface to production runbook.

• Identify gaps in capabilities and address them by assessing vendors or creating solutions in-house.

• Manage the governed integration gateway, which includes connector onboarding, authentication processes, reliability, and vendor escalation.

• Create internal tools such as agent scaffolding, reusable skills and prompt assets, evaluation harnesses, provisioning automation, and integrations with the system of record.

• Set up and manage tiered spending controls, which involve caps, alerting, exception queues, monthly reconciliations, and mitigation of single-author risk.

• Establish technical controls for data management, retention policies, model eligibility, identity integration, SSO, SCIM, role/tier entitlements, and workspace configuration.

• Collaborate directly with teams to comprehend workflows and develop or configure enabling solutions.

• Facilitate technical empowerment through tool roll-out deep dives, model-release office hours, and ownership of the knowledge base.

• Oversee the enterprise AI environment from end to end, covering model turn-ups, feature enablement, deprecation, provisioning, vendor configurations, and seat true-ups.

⛳️ Requirements

• Experience with enterprise SaaS administration for 1,000+ seats, preferably including an AI or LLM platform.

• Proven track record of building and delivering functional software; proficiency in Python or a similar programming language.

• Knowledge of version control, CI, containers, and secrets management.

• Experience with integrations involving LLM and SaaS APIs.

• Familiarity with agent and tool usage patterns, including MCP or similar tool calling architectures.

• Proficient understanding of Okta or a comparable Identity Provider (IdP), OAuth, SCIM, SSO, and federated machine identity.

• Strong operational discipline regarding intake queues, SLAs, runbooks, escalation protocols, and documentation practices.

• Capability to articulate technical functionalities to compliance officers, traders, and backend engineers.

• Excellent written communication skills for creating technical documentation, runbooks, and policy pages.

• Sound judgment regarding what to develop versus features that may be superfluous.

• Preferred qualifications: experience in internal development or AI platforms, FinOps or software asset management, low-code or workflow automation, Atlassian administration, and experience with audit/evidence work in regulated industries.

• Applicants are allowed to redact age, date of birth, or educational attendance/graduation dates from their resumes.

• Completion of job-related skills or work-style assessments may be required upon request.

• Work location must be chosen from eligible countries; sponsorship may be necessary or not required.

🏝️ Benefits

• Applications are accepted on a continual basis unless a specific deadline is indicated.

• Qualified applicants with criminal records are considered in accordance with the San Francisco Fair Chance Ordinance.

• Commitment to equal opportunity employment.

• Employees have access to Kraken product dogfooding and are expected to participate.