RegScale

Senior AI Engineer

RegScale

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

About the role

  • 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 Compliance as Code teams to ensure AI capabilities meet enterprise reliability and security standards.
  • Proactively identify risks in AI system behavior, data quality, and model performance, bringing proposed mitigations before they become production incidents.

Requirements

  • 8 or more years of software engineering experience with at least 4 years focused on building and operating AI or machine learning systems in production environments.
  • Demonstrated track record of shipping AI features that customers depend on, with ownership across the full production lifecycle including reliability, observability, cost management, and ongoing model behavior.
  • Strong data engineering fundamentals, including pipeline design, data modeling, transformation, quality validation, and performance monitoring at scale.
  • Hands on experience with retrieval augmented generation, vector and graph databases, embedding models, and hybrid retrieval strategies.
  • Experience designing and building AI agent systems and orchestration frameworks, including multi step reasoning, tool use, and failure handling in production contexts.
  • Solid understanding of model fine tuning and evaluation, including how to define meaningful performance criteria for domain specific applications.
  • Strong software engineering fundamentals applied to AI systems with production grade rigor.
  • Strong written and verbal communication skills, able to articulate AI architecture decisions and tradeoffs to both technical and non-technical stakeholders.
Benefits
  • RegScale is only able to hire US Citizens
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI systems designdata pipeline designretrieval augmented generationvector databasesgraph databasesmodel fine tuningperformance monitoringorchestration frameworksdata transformationdata quality validation
Soft Skills
communication skillsstakeholder engagementrisk identificationproblem-solvingcollaboration