Distinguished Engineer

Distinguished Engineer – AI Security

CVS Health

Location:
United States , Scottsdale

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

175100.00 - 334750.00 USD / Year

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Job Description:

We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, 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.

Job Responsibility:

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
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
Hands-on Engineering & Prototyping: Design and build proof-of-concept solutions, reference implementations, and reusable components to validate AI security and infrastructure security approaches
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
Technical Innovation: Translate emerging threats, research, and regulatory guidance into practical, actionable engineering solutions
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 stakeholders
Advise on security-related business cases and strategic investments for AI platforms and capabilities
Serve as a trusted advisor and mentor to security, platform, and engineering teams on AI security best practices
Advise on enterprise response to emerging AI security threats

Requirements:

15+ years of AI experience, including significant depth in advanced technical or architectural roles
5+ years of cybersecurity experience defining and integrating security standards and controls that aligned to established frameworks such as NIST CSF
Deep expertise in AI security concepts such as adversarial ML, secure model deployment, AI agent authorization, AI data loss protection, AI safety, and AI risk management
Strong background in Zero Trust architecture and hybrid infrastructure security
Demonstrated ability to lead and influence large-scale, cross-functional security initiatives
Hands-on experience building, deploying, and securing AI systems and platforms in enterprise environments
Practical experience applying AI security and risk management frameworks in real-world engineering contexts
AI Security Frameworks: MITRE ATLAS, NIST RMF, ISACA AI Audit Toolkit, and emerging ISO/IEC AI security standards
AI Technologies: Expert conceptual and hands-on implementation knowledge of core ML and generative AI technologies including transformer-based NLP, LLM-based generative AI and agentic AI
AI Risk Management & Model Security: Threat modeling, adversarial defenses, model lifecycle security, and vulnerability management
Data Privacy & Protection: Privacy-enhancing technologies (PETs), secure data handling patterns, and regulatory alignment (e.g., HIPAA, GDPR)
Infrastructure Security: Zero Trust architectures, secure AI pipelines, and cloud-based GenAI platform controls
Governance & Compliance: Policy development, risk indicators, regulatory interpretation, and audit support for AI systems
Leadership & Collaboration: Ability to influence engineering, legal, privacy, and business stakeholders

Nice to have:

CISSP and/or CISM preferred
AI security, cloud security, or data protection–focused certifications are a plus

What we offer:

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access
CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program

Additional Information:

Job Posted:
May 10, 2026

Expiration:
June 30, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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