Senior Compliance Engineer, AI Governance

True Anomaly seeks an experienced Sr. Compliance Engineer with deep AI Subject Matter Expertise (SME) and export compliance background to join our Governance, Risk, and Compliance (GRC) team. This role is responsible for building, implementing, and sustaining the organization’s compliance posture across key regulatory and security frameworks, with a primary emphasis on RMF (NIST 800-53 Rev. 5 + Classified Overlays), CMMC Level 3, NIST 800-171 Rev. 3, EAR/ITAR cyber regulations, and AI/ML systems and large language models (LLMs) deployed across the enterprise. Compliance Program Execution Lead and support compliance assessment readiness across key organizational frameworks including NIST SP 800-171 Rev. 2 and 3, CMMC Level 3, NIST SP 800-53 Rev. 5, and the NIST Cybersecurity Framework (CSF). Provide direction on cybersecurity readiness to address EAR and ITAR-related controls and requirements. Drive CMMC readiness activities across the organization, including scoping, gap analysis, control implementation validation, evidence collection, and pre-assessment preparation. Review, maintain, and mature System Security Plans (SSPs) to accurately reflect organizational control implementations, system boundaries, and operational practices, including AI/ML system boundaries and data flows. Manage Plans of Actions and Milestones (POA&M), tracking open findings to resolution, communicating status to GRC leadership, and coordinating remediation efforts across responsible teams. Conduct internal compliance audits and control effectiveness reviews to ensure ongoing adherence to applicable frameworks and surface emerging gaps before external assessments. Maintain audit-ready evidence repositories and documentation packages, ensuring traceability between controls, evidence, and framework requirements. AI Governance, Risk & Compliance (AI-GRC) Serve as the organizational AI compliance SME – the primary authority on how AI/LLM systems are evaluated, onboarded, and continuously governed within True Anomaly’s compliance boundaries. Design, implement, and maintain compliance checkpoints and enforcement gates within LLM pipelines, including input/output filtering, content policy enforcement, prompt injection detection, data classification guardrails, automated audit logging, and model access control with role-based permissions. Conduct AI-specific risk assessments, evaluating AI vendor data handling practices, model training data provenance, and third-party AI API security postures against NIST AI RMF, NIST SP 800-53 AI overlays, and internal standards. Develop and enforce an AI System Acceptable Use Policy and supporting standards governing employee and system interactions with LLMs, including permissible data inputs, output handling, human-in-the-loop requirements, and escalation procedures. Evaluate proposed AI/ML use cases for regulatory risk (EAR/ITAR, CMMC, data privacy) and provide compliance go/no‑go determinations with documented rationale. Collaborate with AI/ML engineers and DevSecOps teams to integrate compliance gates into CI/CD pipelines and MLOps workflows, ensuring model and prompt changes undergo review before production deployment. Maintain an AI system inventory, tracking all deployed models, APIs, integrations, and associated risk and compliance status. Monitor emerging AI regulatory developments (e.g., EO 14110, NIST AI RMF, DoD AI Ethics Principles, EU AI Act implications for U.S. defense partners) and assess organizational impact. Cross-Functional Compliance Enablement Act as the primary GRC team resource for compliance questions, control guidance, and framework interpretation across engineering, IT, operations, legal, and security teams. Partner with IT and security operations teams to verify technical controls—access management, logging, configuration baselines, incident response procedures—meet CMMC and NIST requirements at an organizational level. Collaborate with AI/ML engineers, data scientists, and product teams to embed compliance thinking into AI system design, model selection, and deployment architecture. Coordinate with the Enterprise Risk Manager and broader GRC leadership to ensure compliance findings, including AI-specific risks, are reflected in the enterprise risk register and remediation priorities. Support the development of compliance training and awareness materials, including AI-specific training on responsible AI use, LLM risk, and CMMC obligations. Coordinate with external assessors, third-party auditors, and government partners during assessment engagements, serving as a knowledgeable point of contact for evidence walkthroughs and control discussions. Qualifications 7+ years of experience in IT security compliance, GRC, or a closely related discipline with direct ownership of compliance program activities. Demonstrated expertise in NIST SP 800‑171, CMMC (Level 2 or 3), and NIST SP 800‑53 with hands‑on experience conducting gap assessments, implementing controls, and preparing for external audits. Extensive, hands‑on experience with AI/LLM systems, including practical knowledge of OpenAI (GPT‑4/o‑series), Anthropic Claude, Meta Llama, Microsoft Azure OpenAI Service, and comparable commercial and open‑source LLM ecosystems. Ability to design, implement, and operationalize compliance controls within LLM pipelines, including guardrail layers, content filtering, audit logging hooks, and data classification enforcement. Working knowledge of AI security risks: prompt injection, jailbreaking, data exfiltration via LLM outputs, model inversion, and supply‑chain risks associated with third‑party AI APIs. Familiarity with the NIST AI Risk Management Framework (AIRMF) and its application to enterprise and defense AI deployments. Strong understanding of SSP development and maintenance, POA&M management, and audit evidence lifecycle practices within an organizational compliance context. Proven experience developing and operationalizing information security policies, standards, and procedures across a multi‑disciplinary organization. Strong communication skills with the ability to explain compliance requirements—including AI risk concepts—to technical and non‑technical stakeholders. Highly organized with demonstrated ability to manage multiple concurrent compliance workstreams and deadlines in a fast‑paced environment. Active or ability to obtain SECRET or TS/SCI security clearance. Must be a U.S. citizen, lawful permanent resident, or protected individual per ITAR requirements (8 U.S.C. 1324b(a)(3)). Preferred Qualifications Strong EAR/ITAR background as it pertains to cybersecurity, AI‑generated outputs, and policy development. J.D. focusing on technology law, export compliance (EAR/ITAR), AI regulation, or cyber law. Experience building MLOps or AI/DevSecOps pipelines with integrated compliance gates, including automated policy enforcement, prompt review workflows, or model change management processes. Hands‑on experience with AI safety and alignment tooling (LangChain guardrails, NeMo Guardrails, Azure Content Safety, OpenAI Moderation API, Anthropic Constitutional AI policy layer configurations). Experience evaluating AI vendor agreements and data processing agreements against DoD/CMMC/ITAR data handling requirements. Familiarity with DoD AI Ethics Principles, Responsible AI frameworks, and emerging federal AI governance requirements (e.g., EO 14110, OMB AI guidance). Industry certifications such as CISA, CRISC, CISSP, CMMC Registered Practitioner (RP) or Certified Professional (CP), CompTIA Security+, AWS/Azure AI or Security certifications. Background in startup, aerospace, defense technology, or SaaS environments operating under DoD compliance obligations. Familiarity with cloud environments—specifically Azure Government, AWS GovCloud, or Azure OpenAI Government deployments—and AI boundary scoping. Experience coordinating with C/3PAOs or supporting CMMC assessments. Working knowledge of DFARS View phone number on click.appcast.io, ITAR, and supply chain compliance obligations. Familiarity with Agile/Scrum environments and hybrid project delivery models. Compensation Base Salary: Denver $145,000–$195,000; Long Beach $150,000–$205,000; Washington, DC $150,000–$205,000; SF Bay Area $165,000–$225,000. Equity + Benefits: Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401(k), parental leave. Additional Requirements Work Location: Successful candidates will be located near Denver, CO; Long Beach, CA; SF Bay Area; or Washington D.C. Some work must be performed on site. Work Environment: Standard office setting. Physical Demands: Frequent standing, sitting, walking, bending, lifting or carrying items up to 20 lbs. EEO Statement True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please let us know. This position will remain open until it is successfully filled. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain the required authorizations from the U.S. Department of State. #J-18808-Ljbffr