Senior AI Engineer - RegScale

RegScale is a continuous controls monitoring (CCM) platform that helps organizations automate and scale their security, risk, and compliance programs. We are at an inflection point, transitioning from startup execution to a disciplined, enterprise ready engineering organization, and we are building the team that will take us there. AI is central to where RegScale is going, woven into how compliance programs are automated, monitored, and delivered at scale.

The Role

Senior AI Engineers at RegScale own the design and delivery of production AI systems end to end. You bring genuine breadth across the AI engineering stack including data pipelines, model fine tuning and evaluation, agent design and orchestration, MCP server development, and AI safeguards, and you understand how these disciplines connect. You make sound decisions across all of them, not just within a narrow specialization.

Your work lives inside Platform Engineering and is consumed by product teams building GRC features and by integrators connecting RegScale to the broader compliance ecosystem. You build primitives and frameworks others build on top of, and you raise the bar for how the engineering organization thinks about and delivers AI in production.

This role is for an engineer who brings the same rigor to AI systems as to any other production engineering discipline, including reliability, observability, cost management, and ongoing behavior in the real world.

Key Responsibilities

• Design, build, and operate AI systems in production with full ownership across reliability, performance, cost, observability, and ongoing model behavior.
• Build and maintain data pipelines that ingest, clean, transform, and version the data AI systems depend on, ensuring quality and traceability from source to model.
• Design and implement retrieval augmented generation pipelines, vector and graph search systems, and hybrid retrieval strategies that make compliance data accessible for AI driven features.
• Fine tune, evaluate, and monitor models against real world performance criteria, with a clear understanding of how to measure what matters in a compliance domain.
• Architect and build AI agent systems and orchestration layers that coordinate multi step reasoning, tool use, and decision making across complex GRC workflows.
• Build and maintain MCP servers that expose RegScale platform capabilities to AI systems, enabling reliable, secure, and observable AI integrations across the platform.
• Design reusable AI primitives and frameworks that product and integration teams can build on, accelerating AI feature development across the organization.
• Integrate AI capabilities into CI/CD pipelines with appropriate testing, evaluation gates, and deployment strategies that maintain production quality as models and data evolve.
• Partner with Platform Engineering, Core Engineering, and C