Distinguished Engineer – AI Security

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health(R), you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
** Position Summary
** This is a highly technical individual contributor role. The Distinguished Engineer is expected to serve as a technical authority and trusted advisor for AI security and related infrastructure security domains.

This role is expected to dedicate significant time to hands-on engineering, including building reusable security patterns, reference architectures, and proof-of-concept implementations for AI systems and the platforms that support them. In parallel, the role provides expert governance, architectural guidance, and technical oversight to ensure secure, scalable, and compliant AI adoption across the enterprise.

The Distinguished Engineer will work closely with cross-functional partners to embed security into the AI lifecycle—from data and model development through deployment and operations—while helping shape enterprise strategy and standards based on real-world engineering outcomes.
** Key Responsibilities
**** AI Security Leadership (Primary Focus)*
* • Define and help execute the enterprise AI security strategy, spanning secure model selection, development, and deployment criteria, adversarial threat mitigation, and alignment with emerging AI governance requirements.  
• Design, build, and maintain reusable AI security frameworks, reference patterns, and technical standards for model integrity, secure data pipelines, and privacy-preserving machine learning.  
• Perform hands-on security assessments of AI systems, identify risks, and provide mitigation guidance based on AI security posture management and detection findings.
• Drive innovation in AI security techniques, controls, and tooling through applied research and practical implementation.  
• Apply and guide the application of AI security frameworks such as MITRE ATLAS, NIST RMF, and emerging ISO/IEC AI standards to secure the end-to-end AI lifecycle.
** Infrastructure Security Expertise (Secondary Focus)*
* • Apply Zero Trust principles to hybrid and cloud infrastructure environments supporting AI workloads, including workload identity, segmentation, and continuous verification.  
• Partner closely with Enterprise Architecture and Platform Engineering to integrate AI security controls into infrastructure design patterns and shared services.  
• Guide and, where appropriate, directly implement security capabilities across on-premises and cloud platforms to ensure consistent protection for AI and traditional systems.
** Strategic Engineering Responsibilities*
* • Hands-on Engineering & Prototyping:
Design and build proof-of-concept solutions, reference implementations, and reusable components to validate AI security and infrastructure security approaches. Provide ongoing technical support to teams implementing enterprise patterns and components.  
• Framework and Pattern Development:
Architect repeatable security patterns and guardrails that can be adopted by data science, engineering, and platform teams.  
• Technology Evaluation:
Research emerging AI and infrastructure security technologies to assess enterprise applicability and maturity. Ensure that enterprise components and solution architectures leverage the best commercial and open-source software and services available, and that the resulting AI security stack is minimally complex and massively scalable and economic.  
• Technical

Innovation: Translate emerging threats, research, and regulatory guidance into practical, actionable engineering solutions.
** Governance, Advisory, and Oversight Responsibilities*
* • Provide expert design reviews and technical oversight for AI systems, platforms, and infrastructure architectures.  
• Define and evolve AI security and infrastructure security standards in partnership with governance…