Security Engineer, GRC Frameworks & AI Governance
$100k - $198k • Remote • Palo Alto, CA; New York, NY; Washington, DC
Posted 1d ago
Job Location
Palo Alto, CA; New York, NY; Washington, DC
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
SpaceXSI is seeking an experienced Governance, Risk, and Compliance (GRC) Engineer to scale our security and AI governance compliance posture. This role involves setting organizational standards, designing and implementing controls, and automating compliance processes to enable a fast-moving team to ship safely. The ideal candidate will possess deep knowledge of modern security and AI frameworks, translating control requirements into technical implementations, and partnering with engineers to integrate compliance into architecture and CI/CD pipelines. You will collaborate across engineering, legal, product, and leadership to ensure our AI systems are audit-ready for enterprise, commercial, and public-sector environments.
Responsibilities
- Own and execute security compliance implementation and audits across frameworks like SOC 2, NIST CSF, NIST SP 800-53, ISO 27001, ISO 42001, and the EU AI Act, including control design, mapping, gap assessment, evidence collection, and remediation tracking.
- Build and maintain Compliance-as-Code and continuous compliance capabilities, including policy-as-code, automated control validation, and continuous evidence pipelines integrated into development and deployment workflows.
- Operate and extend GRC platforms (e.g., Vanta) as the system of record for controls, evidence, and audit readiness, integrating them with cloud, identity, and engineering tooling.
- Partner with engineering and architecture to embed compliance requirements early in design reviews and translate framework obligations into clear technical control narratives.
- Develop, maintain, and continuously improve corporate policies, standards, and procedures that support the company's governance and AI management system posture.
- Identify, assess, and prioritize risks related to AI/ML operations, cybersecurity, regulatory compliance, data privacy, intellectual property, and cloud deployments.
- Lead risk assessments and compliance reviews for new products, model deployments, features, and architectural changes, with a focus on AI system risks.
- Own and cultivate relationships with external auditors, assessors, and regulators, serving as the liaison between auditors and internal teams.
- Champion a culture of security and compliance across the company by educating teams on the purpose of controls.
Requirements
- Bachelor's degree in computer science, Information Security, Cybersecurity, or an engineering/STEM field.
- 8+ years of experience in GRC, security compliance, or technology audit roles with hands-on GRC engineering responsibilities.
- Demonstrated experience implementing and maintaining security compliance frameworks in cloud environments (AWS, GCP, or Azure).
- Expert-level working knowledge of several frameworks including SOC 2, NIST CSF, NIST SP 800-53, ISO 27001, and ISO 42001.
- Experience with Compliance-as-Code practices and GRC automation tooling (e.g., Vanta, Drata), with a focus on continuous monitoring.
- Ability to evaluate control objectives against real IT and cloud configurations and work with engineers on remediation.
- 10+ years of security compliance, GRC engineering, or technology audit-related experience (preferred).
- Hands-on experience implementing technical controls (e.g., IAM, logging and monitoring, encryption, infrastructure hardening) and integrating compliance checks into CI/CD pipelines (preferred).
- Experience in the tech or AI/ML industry, particularly with startups or high-growth product organizations (preferred).
- Working knowledge of HIPAA privacy and security rules (preferred).
- Experience supporting SOX / ITGC design, documentation, testing, or auditor coordination (preferred).
- Strong understanding of AI ethics and AI governance frameworks (e.g., NIST AI RMF, ISO 42001, EU AI Act) and associated operational risks (preferred).
- Working knowledge in data privacy frameworks (e.g., GDPR, CCPA) in a technology or cloud environment (preferred).
