AI Agents Solutions Architect - HR
KrakenUnited StatesPosted 7 April 2026
Job Description
AI Agents Solutions Architect - HR
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 https://www.kraken.com/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 https://support.kraken.com/hc/en-us/articles/226090548-How-to-create-an-account-on-Kraken.
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 to industry-leading security https://blog.kraken.com/crypto-education/security-at-kraken, crypto education https://blog.kraken.com/category/crypto-education, and world-class client support https://blog.kraken.com/crypto-education/support-at-kraken through our products like Kraken Pro https://pro.kraken.com/, Desktop https://www.kraken.com/desktop, Wallet https://www.kraken.com/wallet, and Kraken Futures https://www.kraken.com/features/futures.
Become a Krakenite and build the future of crypto!
THE OPPORTUNITY
You will serve as the primary architect and builder of AI-powered solutions within the Kraken People team. This is a full-stack ownership role spanning opportunity identification, solution design, deployment, governance, and transfer capability back to the People team so they can maintain and extend what you build.
You’ll work at the intersection of AI/LLM engineering and HR systems—turning manual, fragmented People processes into autonomous, agentic workflows that serve thousands of Krakenites globally. This is hands-on engineering with direct business impact, not experimentation. Responsibilities:
DESIGN AND DEPLOY AI-POWERED HR SOLUTIONS
- Architect and build agentic workflows using n8n, Claude API, Python, and MCP that take real actions in HR processes with appropriate human oversight and approval gates.
- Build multi-agent systems with tool use, function calling, and multi-step reasoning that connect fragmented HR tools (HRIS, ATS, payroll, ticketing) into coherent, end-to-end workflows.
- Build error handling, audit trails, payroll-calendar awareness, and human-in-the-loop checkpoints into every production system before deployment.
- Ensure all automations comply with data classification requirements for employee PII, regulated data, and cross-jurisdictional privacy obligations.
OWN GOVERNANCE AND RISK FOR PEOPLE AI SYSTEMS
- Classify all automation builds by risk tier before work begins. No build goes to production without a named Process Owner, documented data flows, and access controls confirmed.
- Maintain audit logging and documentation for all systems touching regulated employee data or payroll-adjacent workflows.
- Halt or redesign builds that introduce unacceptable payroll, legal, or data privacy risk. Own that decision and get organizational acceptance before proceeding.
- Serve as the HRKX domain representative in contributing to governance standards and cross-functional build alignment.
MULTIPLY THE PEOPLE TEAM'S CAPABILITY
- Produce documentation, workflow templates, and runbooks that HRKX professionals can use and maintain without technical support.
- Train People team members on AI-assisted tools and workflows deployed in production. Drive adoption, not just delivery.
- Track and report on automation imp ... (truncated, view full listing at source)
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