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Reflection AI

Builds AI models and deployment software

GRC Engineer

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 3–6 years of software engineering, security engineering, or DevOps/infrastructure experience.
  • Have hands-on experience supporting at least one security framework, such as SOC 2, ISO 27001, or NIST, as an engineer.
  • Be comfortable writing production-quality code in Python or a similar language and working with APIs and integrations.
  • Have experience translating policy, regulatory, or contractual requirements into technical implementation.
  • Be familiar with cloud infrastructure and identity and access management concepts.
  • Have strong collaboration skills and be able to work effectively with compliance, legal, and engineering stakeholders.
  • Have experience building or maintaining GRC tooling, third-party risk management or vendor risk platforms, or compliance automation such as Vanta or similar.
  • Be familiar with one or more relevant frameworks: CMMC, NIST 800-171 or 800-53, SOC 2, ISO 27001, or GDPR/CCPA technical requirements.
  • Have experience with data governance or data lineage tooling, especially in machine learning or artificial intelligence pipelines.
  • Have a background supporting a government contracting or regulated environment.

Responsibilities

  • Design and build automated controls and monitoring that satisfy security framework requirements, including access reviews, data minimization, model and data lineage, and continuous evidence collection.
  • Partner with Engineering, Security, and IT to implement technical requirements arising from security frameworks, deemed export controls, and privacy regulations.
  • Build and maintain internal tooling that supports compliance workflows, including intake forms, screening checks, reporting dashboards, and GRC platform integrations such as Vanta.
  • Translate regulatory and policy requirements into concrete technical specifications that engineering teams can implement.
  • Support technical due diligence for inbound customer security questionnaires and audits, and outbound vendor assessments.
  • Maintain integrations between compliance and GRC systems and source-of-truth systems, including identity, data infrastructure, and model pipelines.
  • Help scope and support technical environment separations or system boundaries required for regulatory compliance, such as subsidiary or enclave environments.

About the Company

Reflection AI

Builds AI models and deployment software

Reflection AI develops language models for software developers, companies and governments that want control over how AI is deployed and adapted. Its research concentrates on coding, reasoning and AI agents that work through tasks with software tools. The lab builds the surrounding software and infrastructure as well as models, letting customers run AI through its hosted platform or in their own computing environments. Its commercial work pairs model access with engineers who design applications and support customized enterprise deployments from development through operation. Reflection AI was founded in 2024 and is headquartered in New York City.

Company size
201-500
Company stage
Late Stage VC
Total funding
$4.6B
Headquarters
New York City, New York
Founded
2024

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