Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

Role summary

Reflection AI's Compliance and AI Governance function spans six pillars: AI Governance, Data Governance, Trade Compliance, Privacy Operationalization, Government Contracting Compliance, and Corporate Compliance. The team builds the policies, controls, and operating rhythms that let the company move fast while staying defensible with regulators, customers, and partners. This role sits at the intersection of compliance and engineering, partnering most closely on technical controls required by Security frameworks, AI Governance frameworks, Privacy, and Data Governance pillars to translate policy requirements into technical controls that scale.

We're looking for a Governance, Risk, & Compliance engineer who wants to work on compliance as a product problem rather than a paperwork problem. You'll build and maintain the technical infrastructure (tooling, pipelines, automated controls, evidence collection) that lets the compliance program operate at engineering scale instead of through manual review. A core part of the job is keeping our security framework compliance (SOC 2, ISO 27001, NIST) running on automated evidence rather than manual screenshotting, and building out the technical side of our Trade Compliance, Privacy, Data Governance, and TPRM program. You'll be the technical translator between compliance requirements and the engineering and security teams that have to implement them.

What You'll Do

Design and build automated controls and monitoring that satisfy security framework requirements (SOC 2, ISO 27001, NIST 800-53/800-171, CMMC): access reviews, data minimization, model/data lineage, 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 (intake forms, screening checks, reporting dashboards, GRC platform integrations such as Vanta)

Translate regulatory and policy requirements into concrete technical specifications engineering teams can implement

Support technical due diligence for inbound customer security questionnaires, audits, and outbound vendor assessments

Maintain integrations between compliance/GRC systems and source-of-truth systems (identity, data infrastructure, model pipelines)

Help scope and support technical environment separations or system boundaries required for regulatory compliance (e.g., subsidiary or enclave environments)

What We're Looking For

3-6 years of software engineering, security engineering, or DevOps/infrastructure experience

Hands-on experience supporting at least one security framework (SOC 2, ISO 27001, or NIST) as an engineer, not just as a subject

Comfortable writing production-quality code (Python, or similar) and working with APIs/integrations

Experience translating non-technical requirements (policy, regulatory, contractual) into technical implementation

Familiarity with cloud infrastructure and identity/access management concepts

Strong collaboration skills; able to work effectively with compliance, legal, and engineering stakeholders who don't share a common vocabulary

Experience building or maintaining GRC tooling, TPRM/vendor risk platforms, or compliance automation (e.g., Vanta or similar)

Familiarity with one or more relevant frameworks: CMMC, NIST 800-171/800-53, SOC 2, ISO 27001, GDPR/CCPA technical requirements

Experience with data governance or data lineage tooling, especially in ML/AI pipelines

Background supporting a government contracting or regulated environment

What We Offer

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.