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Salary analysis
Compared with the selected benchmark ("All roles in London, United Kingdom"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,789–€15,737). The listed pay band (€459–€708) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 9 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Solutions Architect | €6,562/per month | €10,212/per month | €14,901/per month |
| All roles in London, United Kingdom | €3,789/per month | €7,003/per month | €15,737/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €459/per month | €584/per month | €708/per month |
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). 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 regulated data, SAR workflows, or sanctions-adjacent processes. - Halt or redesign builds that introduce unacceptable regulatory, legal, or data privacy risk. Own that decision and secure organizational acceptance before proceeding. - Serve as the Compliance domain representative in contributing to governance standards, model risk management, and cross-functional build alignment across the Automate Everything initiative. Multiply the Compliance team's capability: - Produce documentation, workflow templates, and runbooks that Compliance professionals can use and maintain without technical support. - Train Compliance team members on AI-assisted tools and workflows deployed in production. Drive adoption, not just delivery. - Track and report on automation impact: alert review time reduced, case throughput increased, regulatory report cycle time shortened, and analyst capacity unlocked for higher-risk work. - Act as a force multiplier for the Compliance team, enabling investigators and analysts to focus on high-judgment, high-risk decisions through process, technology, and AI enablement.
Job Details
Responsibilities
- Architect and build agentic workflows using n8n, Claude API, Python, and MCP
- Design solutions for alert pre-screening, case narrative generation, and regulatory change summarization
- Build scalable automated analytics solutions for risk insights
- Apply AI techniques for text analysis and transaction pattern recognition
- Implement error handling, audit trails, and human-in-the-loop checkpoints
- Ensure compliance with GDPR and AML data retention rules
- Classify automation builds by risk tier and maintain audit logging
- Train Compliance team members on AI-assisted tools and workflows
- Track and report on automation impact on analyst capacity and report cycles
Requirements
- 8+ years of experience in Compliance operations, financial crime, regulatory technology, or a combined compliance and technical role
- Strong fluency with AI and workflow automation tools
- Demonstrated hands-on experience designing and deploying AI-powered or automated workflows in a production environment
- Deep working knowledge of anti-financial crime (AML/CFT, sanctions, transaction monitoring) and data privacy frameworks
- Proficiency with AI tooling stack: n8n, Python, Claude API/Anthropic SDK, or equivalent
- Experience connecting Compliance systems via API
- Solid understanding of data classification, customer PII handling, and cross-jurisdictional compliance obligations (GDPR, BSA, FATF)
- Strong written and verbal communication skills
Skills & Technologies

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