As 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.
Compensation
This position pays between $148,800 - 223,200 based on experience and geographical location.
Responsibilities
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.
Serve as an authority on AI security decisions across engineering, product, and research teams.
Requirements
Nice to have: NIST AI RMF
Nice to have: CISSP
Nice to have: CCSP
Nice to have: Cloud security specializations
Nice to have: Published research in AI/ML security
The Senior Security Analyst ensures that all development activities comply with security requirements and implements security best practices throughout the software lifecycle. This position supports DevSecOps implementation, conducts security assessments, and ensures the unified solution meets all DoD security standards and Risk Management Framework (RMF) requirements.
Compensation
The salary associated with this position ($122,000-$253,000) is commensurate with the selected candidate’s qualifications, years of relevant experience, and demonstrated level of expertise. Compensation will be determined based on these factors to ensure alignment with skills, responsibilities, and market standards.
Responsibilities
Implement security controls and best practices
Support DevSecOps pipeline security integration
Conduct security assessments and vulnerability analysis
Manage security findings and Plan of Action & Milestones (POA&M)
Support RMF activities and security documentation
Requirements
Bachelor's degree in Cybersecurity, Computer Science, or related field (or equivalent)
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $185,800 to $385,700; Bay Area California offices – $193,500 to $401,600; All other offices locations in the US, including Sacramento – $154,700 to $353,500
Responsibilities
Define and execute Application Security and AI Security strategy, architecture standards, and transformation roadmaps
Lead Secure Software Development Lifecycle (SSDLC) and DevSecOps initiatives across product and engineering organizations
Govern the use of AI coding assistants and autonomous coding agents across the SSDLC, defining sandboxing, credential scoping, tool-access boundaries, and review standards for AI-authored code
Shift security review in-line to the point of authorship, embedding automated and AI-assisted review in the IDE and in pull requests
Address the risks introduced by AI-generated and prompt-driven development, including code provenance, hallucinated or typosquatted dependencies, and prompt injection
Application Security & AI Engineering - Senior ManagerEY · Charlotte, US+6 more