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Wave Group in Madrid is seeking a regulatory compliance engineer to bridge Legal, Engineering and Security for EMEA, US, LATAM and APAC. You will translate regulatory requirements into concrete technical work and help ensure AI systems remain compliant, auditable and trustworthy as we scale.
You will lead design of compliance features (monitoring, logging, audit trails, human oversight, risk classification) and build dashboards and metrics for Legal, Security and leadership to monitor AI risk
Salary: €100-130k + up to 35% bonus (~20% standard, rest based on performance)
Equity: up to ~€80k
Location: Madrid (preferred) or Barcelona (1-2 office days)
Company: autonomous AI agents for enterprise clients
This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world.
The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America.
Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.
You'll sit between Legal, Engineering and Security — tracking regulatory requirements across EMEA, US, LATAM and APAC and translating them into concrete technical work, so the company's agentic systems stay compliant, auditable and trustworthy as it scales.
You'll advise Engineering on the compliance features that actually matter — monitoring, logging, audit trails, human oversight, risk classification — and design and maintain the compliance dashboards and metrics (including human-in-the-loop tracking) that give Legal, Security and leadership a clear view of AI risk.
You'll also run AI risk and impact assessments aligned to ISO/IEC 42001 and EU AI Act classifications, own technical GDPR compliance (plus equivalent regimes like CCPA/CPRA, LGPD, PIPL) — data mapping, DPIA support, privacy-by-design — and act as the technical point of contact for enterprise clients on responsible AI: questionnaires, due-diligence workshops, compliance reporting.