Distinguished Engineer, AI Security

CVS Health

Confirmed live today High trust
Closes in 3 days Hybrid

Quick summary

Work type
Hybrid
Location
Scottsdale, AZ
Salary
$175,100–$334,750 / yr
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live today
Closes
Oct 30, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $255k
$135k $356k
below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $162,000–$253,500 — the blue band above. At the midpoint, this role pays about $255k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 119 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 115 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Distinguished Engineer, AI Security

JOB TITLE: Distinguished Engineer – AI Security The Distinguished Engineer – AI Security serves as a technical authority and trusted advisor for AI security and infrastructure security domains. This highly technical individual contributor role involves hands-on engineering to build reusable security patterns, reference architectures, and proof-of-concept implementations for AI systems. Key responsibilities include defining enterprise AI security strategies, performing security assessments, and designing frameworks for model integrity and privacy-preserving machine learning. The role requires expertise in MITRE ATLAS, NIST RMF, and ISO/IEC standards, alongside deep knowledge of transformer-based NLP, LLMs, and agentic AI. You will apply Zero Trust principles to hybrid and cloud environments to secure data pipelines and model lifecycles. This position solves the complex problem of ensuring secure, scalable, and compliant AI adoption across the enterprise while mitigating adversarial threats.

What does a Engineer earn?

Median $178175 from 251 postings across 54 companies.

See salary data

What you'll do

  • Define and execute the enterprise AI security strategy including model selection, deployment criteria, and adversarial threat mitigation.
  • Design and maintain reusable AI security frameworks, reference patterns, and technical standards for model integrity and privacy.
  • Perform hands-on security assessments of AI systems to identify risks and provide mitigation guidance.
  • Apply Zero Trust principles to hybrid and cloud infrastructure environments supporting AI workloads.
  • Build proof-of-concept solutions and reference implementations to validate AI and infrastructure security approaches.
  • Provide expert design reviews and technical oversight for AI systems, platforms, and infrastructure architectures.
  • Research emerging AI and infrastructure security technologies to assess enterprise applicability and maturity.
  • Translate emerging threats and regulatory guidance into practical, actionable engineering solutions.

What we're looking for

  • Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field required.
  • Master’s degree in AI, Machine Learning, Cybersecurity, or a related discipline (preferred).
  • 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 aligned to frameworks like NIST CSF.
  • Expert conceptual and hands-on implementation knowledge of core ML, generative AI, transformer-based NLP, and agentic AI.
  • Deep expertise in AI security concepts including adversarial ML, secure model deployment, AI agent authorization, and AI risk management.
  • Proficiency in AI security frameworks including MITRE ATLAS, NIST RMF, ISACA AI Audit Toolkit, and ISO/IEC standards.
  • Experience with Zero Trust architectures, privacy-enhancing technologies (PETs), and cloud-based GenAI platform controls.
  • CISSP and/or CISM certifications (preferred).
  • AI security, cloud security, or data protection-focused certifications (preferred).

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