Senior AI Engineer

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, an