AI Platform Engineer, Enablement and Governance Operations

Trammell Venture Partners, L.L.C.; United States; À distance; USD 180 000 - 240 000; Plein temps

Résumé du poste

Kraken is seeking an AI Platform Engineer to design and run the enterprise AI platform with governance and enablement focus. You’ll partner with teams across the organization to ensure safe, scalable AI tooling and governance.

You will work remotely with Krakenites in 70+ countries, building capabilities like identity, policy enforcement, and spend controls, while delivering running, well-documented enablement materials for traders, developers, and compliance teams.

Qualifications

• Experience designing and operating AI platforms for enterprise environments with 1000+ seats.
• Strong Python skills, containers, CI/CD, and secrets management.
• Experience integrating with LLM and SaaS APIs using agent/tool patterns (MCP or similar).

Responsabilités

• Design and build the technical layer of the AI platform from integration surface to production runbook.
• Own the governed integration gateway, including onboarding, authentication flows, and identity work.
• Build internal tooling: agent scaffolding, reusable skills, evaluation harnesses, provisioning automation.
• Configure tiered spend controls, alerts, and monthly vendor reconciliation.
• Implement data handling, retention, and model eligibility policies with identity and workspace controls.
• Collaborate with teams to unblock them and enable tool leverage.
• Run technical enablement: deep dives, office hours, and knowledge base material.
• Administer the enterprise AI estate end to end.

Connaissances

Enterprise SaaS admin

Python

APIs integration

Identity & access

Operational discipline

Technical writing

Teaching ability

Outils

Okta

OAuth

SCIM

CI/CD

Containers

Description du poste

AI Platform Engineer, Enablement and Governance Operations

Remote

Building the Future of Crypto

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

What makes us different?

Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here .

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed toindustry-leading security,crypto education, andworld-class client supportthrough our products likeKraken Pro,Desktop,Wallet, andKraken Futures.

Become a Krakenite and build the future of crypto!

The Team

Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

Enterprise Transformation owns Kraken’s internal AI platform. AI tooling is deployed at scale across the org. Tiered spend controls are live, a governed integration gateway is in production, and a system inventory is being built against real regulatory obligations. The next constraint is not access. It’s capability. The frontier moves every few weeks, and most of what arrives is a protocol, API, or primitive that someone has to turn into something the rest of the company can safely use.

The Opportunity

• Design and build the technical layer of the AI platform, from integration surface to production runbook. Identify capability gaps between what’s possible and what the organization can safely use, then close them by evaluating vendors or building internally.
• Own the governed integration gateway as an engineering surface. You’ll handle connector onboarding, authentication flows including OAuth and federated identity, reliability, and vendor escalation when things break.
• Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of record.
• Configure and operate tiered spend controls across the AI estate. Set caps by role and tier, build alerting rules, manage exception queues, run monthly reconciliation against vendor commitments, and eliminate the current single author risk in cap automation.
• Implement the technical controls behind policy on data handling, retention, and model eligibility. This means identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration where retention terms differ by model class.
• Work directly with teams to unblock them. Sit with them, understand the workflow, build or configure the thing that enables them to get real leverage from the tools.
• Run technical enablement. Deep dives for tool rollouts, office hours for model releases, and authority over the engineering detail in knowledge base material.
• Administer the enterprise AI estate end to end. Model turn ups, feature enablement, deprecation, provisioning queue, vendor configurations, and seat true ups.

What You Bring

• Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform.
• Demonstrated ability to build and ship working software, not just configure vendor products. Python or a comparable language should be natural to you. Version control, CI, containers, and secrets management are everyday tools.
• Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use patterns, including MCP or equivalent tool calling architectures.
• Working knowledge of identity and access. Okta or an equivalent IdP, OAuth, SCIM, SSO, and federated machine identity are things you’ve worked with.
• Operational discipline. You understand intake queues, SLAs, runbooks, escalation hygiene, and the instinct to document a fix the first time you make it.
• Genuine teaching ability. You can explain a technical capability three different ways on the same day to compliance, traders, and backend engineers.
• Clear written communication for technical documentation, runbooks, and policy pages.
• Judgment about what to build. You can tell the difference between a capability the organization actually needs and a demo that will be abandoned in a month.

Nice To Haves

• Experience standing up an internal developer or AI platform, including the self service and guardrail layers.
• Exposure to FinOps or software asset management practice.
• Experience with low code or workflow automation platforms.
• Atlassian administration depth in Jira, Confluence, or JSM.
• Familiarity with regulated industry audit and evidence work in financial services.