AI Agents Solutions Architect - Compliance
Kraken Remote (United Kingdom; Argentina; Brazil; Canada; Cyprus; Czech Republic; Ireland; Lithuania; Mexico; Poland; Portugal; Romania; South Africa; Spain; Switzerland; United Arab Emirates) Remoto Publicada em 19 de jun. de 2026
Senior
A descrição completa está disponível na vaga original.
Responsabilidades
- 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
- 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
- Serve as the Compliance domain representative in contributing to governance standards, model risk management, and cross-functional build alignment across the Automate Everything initiative
- 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 and drive adoption
- 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
Requisitos
- 8+ years of experience in Compliance operations, financial crime, regulatory technology, or a combined compliance and technical role with demonstrated senior-level execution
- Strong fluency with AI and workflow automation tools, with demonstrated experience designing, deploying, and driving adoption of AI solutions within Compliance or RegTech workflows
- Demonstrated hands-on experience designing and deploying AI-powered or automated workflows in a production environment used by others, not just experimentation
- Deep working knowledge of anti-financial crime (e.g. AML/CFT, sanctions, transaction monitoring systems), capital markets compliance (e.g. sales and trading, market conduct, transaction surveillance, conflicts management) and data privacy frameworks
- Systems thinker with a strong implementation mindset — able to move from discovery to design to build to deployment to optimization without relying on external consultants
- Proficiency with AI tooling stack: n8n, Python, Claude API/Anthropic SDK, or equivalent; experience connecting Compliance systems via API is required
- Strong analytical problem-solving skills with the ability to structure ambiguous compliance questions into clear, actionable, automated analysis
- Solid understanding of data classification, customer PII handling, and cross-jurisdictional compliance obligations including GDPR, BSA, FATF standards, and applicable AML data retention requirements
- Strong written and verbal communication skills; able to translate technical automation solutions and complex analytical results for Compliance professionals, senior leadership, and regulators who are not technical
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