AI Platform Engineer – Enablement and Governance Operations

Job not on LinkedIn

🔥 9 minutes ago

🇺🇸 United States – Remote

💵 $110.4k - $220.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kraken Digital Asset Exchange

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

Kraken Digital Asset Exchange is a cryptocurrency platform that facilitates the buying and selling of over 200 cryptocurrencies, including Bitcoin, Ethereum, and many others. Founded in 2011, Kraken provides a comprehensive suite of features for both beginner and advanced traders, such as advanced trading interfaces and margin trading. The platform emphasizes industry-leading security, deep liquidity, and 24/7 customer support, making it a trusted choice for users worldwide. Kraken caters to individual investors as well as institutional clients, offering services like OTC trading and custody. The company is committed to transparency with its proof of reserves and mission-driven values. Kraken operates globally, supporting clients in over 190 countries, with a quarterly trading volume exceeding $207 billion. However, users are advised of the high risk of crypto investments and the lack of regulation in some jurisdictions.

📋 Description

• 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

• 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

• 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