The Opportunity: About the RoleAs Principal Architect for AI Security, you will define and lead the security architecture strategy for our AI platform, products, and infrastructure. This is a rare opportunity to shape how a fast-moving organization thinks about security at the intersection of machine learning, cloud infrastructure, and product delivery. You will operate as a technical authority - influencing roadmap, mentoring senior engineers, and partnering with leadership to ensure our AI systems are trustworthy, resilient, and defensible.
What You'll DoArchitecture & Strategy
- Define the end-to-end security architecture for AI/ML systems, including training pipelines, inference infrastructure, model storage, and APIs.
- Develop and maintain a threat model for AI-specific attack surfaces: model poisoning, adversarial inputs, prompt injection, model inversion, and supply chain risks.
- Lead design reviews for high-impact systems, setting standards for secure-by-default AI development.
- Own the AI security roadmap, aligning it with product goals, compliance requirements, and industry best practices.
Technical Leadership
- Serve as an authority on AI security decisions across engineering, product, and research teams.
- Partner with ML engineers to embed security controls throughout the model lifecycle - from data ingestion to deployment and monitoring.
- Drive adoption of zero-trust principles, least-privilege access, and defense-in-depth across AI infrastructure.
Governance & Compliance
- Translate evolving AI-specific regulations (NIST AI RMF) into actionable architectural requirements.
- Partner with legal, privacy, and compliance teams to ensure AI systems meet internal policies and external obligations.
- Produce executive-ready security assessments, risk summaries, and mitigation plans.
Cross-Functional Collaboration
- Act as a bridge between security, platform engineering, data science, and product management.
- Represent the organization in external forums, customer security reviews, and industry working groups.
- Contribute to open-source tooling, publications, or speaking engagements to build the organization's credibility in AI security.
What You'll Bring- 12+ years of experience in information security, with at least 5 years focused on cloud or platform architecture.
- Deep hands-on expertise in securing ML/AI systems, including LLMs, training pipelines, and model serving infrastructure.
- Demonstrated experience with AI-specific threat vectors: adversarial ML, data poisoning, model extraction, and prompt injection.
- Proficiency in cloud security (AWS, Azure, or GCP) including IAM, network segmentation, secrets management, and audit logging.
- Strong background in application security, cryptography, and secure software development lifecycle (SSDLC).
- Experience leading architectural decisions in a large-scale engineering organization.
- Excellent written and verbal communication - you can explain complex security risks to both engineers and executives.
Preferred
- Familiarity with AI governance frameworks: NIST AI RMF
- Relevant certifications such as CISSP, CCSP, or cloud security specializations.
- Published research, conference talks, or open-source contributions in AI/ML security.
Additional Information
- This position pays between $148,800 - 223,200 based on experience and geographical location.
- Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences.
- This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.
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