AI Agents Solutions Architect - Compliance
About the Role
Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
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. Payward's Global Compliance team is the regulatory backbone of one of the world's most trusted and longest-standing crypto exchanges — spanning AML/KYC, sanctions, financial crime, regulatory affairs, and compliance operations across dozens of licensed entities and multiple geos.
The opportunity
Responsibilities You will serve as the primary architect and builder of AI-powered solutions within the Kraken Compliance team. This is a full-stack ownership role spanning opportunity identification, solution design, deployment, governance, and capability transfer. This global role will require you to work strategically to "automate everything" while building Compliance’s data driven machine across multiple jurisdictions and products (e.g. crypto, payments, futures, equities, custody, margin). Responsibilities span the following areas: Design and deploy AI-powered Compliance solutions Architect and build agentic workflows using n8n, Claude API, Python, and MCP that take real actions in Compliance processes with appropriate human oversight and approval gates. Design and deliver solutions across priority Compliance use cases: alert pre-screening, case narrative generation, regulatory change summarization, EDD report drafting, and audit-ready documentation. Build scalable, automated analytics solutions that deliver high-quality, repeatable risk insights for Compliance leadership and regulators. Apply AI-enabled techniques for text analysis, transaction pattern recognition, and workflow automation to surface actionable signals from high-volume data. Build error handling, audit trails, regulatory-calendar awareness, and human-in-the-loop checkpoints into every production system before deployment. Ensure all automations comply with data classification requirements for customer PII, regulated financial data, and cross-jurisdictional privacy obligations including GDPR and applicable AML data retention rules. Own governance and risk for Compliance 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, access controls confirmed, and regulatory impact assessed. Maintain audit logging and documentation for all systems touching