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 • United StatesMid-LevelSenior💰 $110,400 - $220,800 per yearWebsite

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 with APIs, and technical documentation. Proven ability to build internal tooling and manage enterprise AI estates effectively.

Highest-signal resume keywords

Enterprise SaaS AdministrationPython ProgrammingIntegration With LLM APIsTechnical DocumentationIdentity Management (Okta, OAuth, SCIM)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonVersion ControlContinuous Integration (CI)ContainerizationSecrets ManagementIntegration With APIsAgent Tool Use PatternsTechnical Controls ImplementationData HandlingModel Eligibility

Soft Skills

Clear Written CommunicationJudgment in Capability Assessment

Tools & Technologies

OktaOAuthSCIMSSOAtlassian (Jira, Confluence, JSM)Low-Code PlatformsWorkflow Automation Platforms

Industry Keywords

Enterprise TransformationFinOpsSoftware Asset ManagementRegulated-Industry AuditFinancial Services

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 integrations with systems of record
Configure and operate tiered AI spend controls, including caps, alerting, exception queues, monthly reconciliation, and cap-automation risk reduction
Implement technical controls for data handling, retention, and model eligibility
Integrate identity, SSO and SCIM, role- and tier-based entitlements, and model-specific 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 technical knowledge-base content
Administer the enterprise AI estate end to end, including model turn-ups, feature enablement, deprecation, provisioning queues, vendor configurations, and seat true-ups
Collaborate within Enterprise Transformation and across Kraken teams

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 programming language
Experience with version control, CI, containers, and secrets management
Experience integrating with 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 identity provider, OAuth, SCIM, SSO, and federated machine identity
Understanding of intake queues, SLAs, runbooks, and escalation hygiene
Ability to explain technical capabilities to compliance, traders, and backend engineers
Clear written communication for technical documentation, runbooks, and policy pages
Judgment to distinguish needed capabilities from demos likely to be abandoned
Nice to have: experience standing up 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: Atlassian administration in Jira, Confluence, or JSM
Nice to have: familiarity with regulated-industry audit and evidence work in financial services
Applicants must select a city and country from the application options
Candidates may be asked to complete job-related skills or work-style assessments

Benefits

Comp & perks

Equity program
Bonus program
Wellness allowance
Medical insurance [US Only]
Dental insurance [US Only]
Vision insurance [US Only]
401(k) [US Only]
Remote work
Global and diverse working environment
Job-related skills or work-style assessments applied consistently across candidates