AI Platform Engineer – Enablement and Governance Operations

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

📋 Description

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

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

• Manage the governed integration gateway, which includes onboarding connectors, 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 systems of record.

• Configure and manage tiered AI expenditure controls, including caps, alert notifications, exception queues, monthly reconciliations, and risk mitigation for cap automation.

• Implement technical safeguards for data management, retention, and model eligibility.

• Integrate identity systems, SSO, SCIM, role- and tier-based entitlements, and model-specific workspace configurations.

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

• Conduct technical enablement through detailed tool rollouts, model-release office hours, and technical knowledge base content.

• Oversee the enterprise AI ecosystem comprehensively, including model activations, feature enablement, deprecation, provisioning queues, vendor setups, and seat true-ups.

• Collaborate within Enterprise Transformation and across various Kraken teams.

⛳️ Requirements

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

• Proven ability to develop and deploy functional software.

• Proficiency in Python or a similar programming language.

• Familiarity with version control, continuous integration, containers, and secrets management.

• Experience integrating with LLM and SaaS APIs.

• Practical knowledge of agent and tool utilization patterns, including MCP or equivalent tool-calling architectures.

• Understanding of Okta or a similar identity provider, OAuth, SCIM, SSO, and federated machine identity.

• Comprehension of intake queues, service level agreements (SLAs), runbooks, and escalation practices.

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

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

• Ability to discern essential capabilities from demonstrations that are likely to be abandoned.

• Nice to have: Experience establishing an internal developer or AI platform, including self-service and guardrail components.

• Nice to have: Exposure to FinOps or software asset management.

• Nice to have: Experience with low-code or workflow automation platforms.

• Nice to have: Proficiency in Atlassian tools such as Jira, Confluence, or JSM.

• Nice to have: Familiarity with regulated industry audits and evidence work in financial services.

• Applicants are required to select a city and country from the application options.

• Candidates may be requested to complete job-related skills or work-style assessments.

🏝️ Benefits

• Equity program.

• Bonus program.

• Wellness allowance.

• Medical insurance [US Only].

• Dental insurance [US Only].

• Vision insurance [US Only].

• 401(k) [US Only].

• Remote work options.

• A global and diverse working environment.

• Job-related skills or work-style assessments applied consistently across all candidates.