Principal Application Security Engineer – AI & Agentic Systems

CVS Health

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$144,200–$288,400 / yr
Posted
2 days ago
Closes
Jun 18, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $216k
$127k most similar roles pay here $306k

This role pays more than 69% of similar roles. Most pay $160,100–$226,262 — the shaded band above. At the midpoint, this role pays about $216k versus about $193k 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 156 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 152 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Principal Application Security Engineer – AI & Agentic Systems

This senior security architect role within a leading tech company focuses on embedding security-by-design principles across traditional and AI-driven systems, ensuring robust protection against emerging threats. The candidate will lead the development of secure design patterns for AI agent frameworks, promote organization-wide awareness of AI-specific risks, and collaborate with engineering teams to integrate secure practices. Key responsibilities include architecting secure designs for systems leveraging large language models, autonomous agents, and RAG pipelines, while also conducting advanced security testing and risk assessments. The ideal candidate has over a decade of experience in designing and securing large-scale applications, expertise in application security, and hands-on knowledge of AI workload development and cloud platforms like AWS, Azure, or GCP. Proficiency in languages such as Python, Java, JavaScript, C#, or Go is essential, along with strong understanding of compliance frameworks and the ability to influence enterprise-level security strategy.

What you'll do

  • Lead development and enforcement of security policies for AI and traditional systems.
  • Establish secure design patterns for AI agent frameworks, including prompt management and autonomy boundaries.
  • Architect and review secure designs for systems using LLMs and autonomous agents.
  • Influence engineering teams to integrate secure practices in compliance with responsible AI initiatives.
  • Conduct advanced security testing and risk assessments for AI-enabled systems, including threat modeling.

What we're looking for

  • Over 10 years of experience in designing and securing large-scale applications and platforms.
  • At least 7 years of expertise in application security, including threat modeling and secure design.
  • Proficient programming skills in Python, Java, JavaScript, C#, or Go.
  • Extensive experience developing and securing AI and ML workloads, with recent focus on generative AI.
  • Solid understanding of public cloud platforms (AWS, Azure, GCP) and modern application architectures.
  • Experience with containerized, serverless, and microservice-based architectures for at least 3 years.

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