AI Platform Engineer – Enablement and Governance Operations

Kraken Digital Asset Exchange

. Design and build the technical layer of Kraken's internal AI platform, from integration surface to production runbook .

Posted 9/17/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Enterprise SaaS Administration, particularly with AI or LLM platforms, and possesses strong capabilities in Python programming, integration of LLM and SaaS APIs, and operational discipline for managing technical workflows and documentation.

Highest-signal resume keywords

Enterprise SaaS AdministrationPython ProgrammingLLM IntegrationOkta or Equivalent IdPTechnical Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonVersion ControlContinuous IntegrationContainerizationSecrets ManagementAPI IntegrationOperational DisciplineTechnical Controls ImplementationWorkflow AutomationAgent Tool Use Patterns

Soft Skills

Clear Written CommunicationJudgment in Development Decisions

Tools & Technologies

OktaOAuthSCIMSSOMCPAtlassian Administration

Industry Keywords

AI PlatformFinOpsSoftware Asset ManagementRegulated-Industry Audit

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and build the technical layer of Kraken's internal AI platform, from integration surface to production runbook
Identify capability gaps and close them by evaluating vendors or building internally
Own the governed integration gateway, including connector onboarding, authentication flows, reliability, and vendor escalation
Build internal tooling such as agent scaffolding, reusable skills and prompt assets, evaluation harnesses, provisioning automation, and system-of-record integrations
Configure and operate tiered spend controls, including caps, alerting, exception queues, monthly reconciliation, and removal of single-author risk
Implement technical controls for data handling, retention, model eligibility, identity integration, SSO, SCIM, role/tier entitlements, and workspace configuration
Work directly with teams to understand workflows and build or configure enabling solutions
Run technical enablement through tool-rollout deep dives, model-release office hours, and knowledge-base ownership
Administer the enterprise AI estate end to end, including model turn-ups, feature enablement, deprecation, provisioning, vendor configurations, and seat true-ups

Requirements

What you’ll need

Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform
Demonstrated ability to build and ship working software; Python or a comparable language
Version control, CI, containers, and secrets management
Experience integrating against LLM and SaaS APIs
Working familiarity with agent and tool use patterns, including MCP or equivalent tool calling architectures
Working knowledge of Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity
Operational discipline with intake queues, SLAs, runbooks, escalation hygiene, and documentation
Ability to explain technical capabilities to compliance, traders, and backend engineers
Clear written communication for technical documentation, runbooks, and policy pages
Judgment about what to build versus capabilities that are unnecessary
Nice to have: internal developer or AI platform experience, FinOps or software asset management, low-code or workflow automation, Atlassian administration, and regulated-industry audit/evidence work
Applicants may redact age, date of birth, or educational attendance/graduation dates from resumes
Must complete job-related skills or work-style assessments if requested
Work location must be selected from an eligible country; sponsorship may be required or not required

Benefits

Comp & perks

Applications accepted on an ongoing basis unless a specific deadline is stated
Qualified applicants with criminal histories are considered consistent with the San Francisco Fair Chance Ordinance
Equal opportunity employment
Kraken product dogfooding access/expectation for employees