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Principal Application Security Engineer - AI & Agentic Systems

Job in Cheyenne, Laramie County, Wyoming, 82007, USA
Listing for: CVS Health
Full Time position
Listed on 2026-05-21
Job specializations:
  • IT/Tech
    AI Engineer, Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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

Development, Standards & Secure Design

  • Lead development and enforcement of application and AI security policies, standards, and guardrails, embedding security-by-design across both traditional and AI-driven systems.

  • Establish secure design patterns for AI agent frameworks, covering prompt management, tool invocation, memory handling, autonomy boundaries, and escalation controls.

  • Promote organization-wide awareness of AI-specific risks such as model misuse, prompt injection, data leakage, and unsafe agent behavior.

AI & Agentic Security Architecture

  • Serve as the principal SME for securing AI-enabled applications and agentic system architectures.

  • Architect and review secure designs for systems leveraging LLMs/foundation models, autonomous and semi-autonomous agents, RAG pipelines, and tool‑using or decision‑making workflows.

  • Define identity, authorization, data access, and observability controls specific to agentic environments while partnering closely with AI platform, product, and data teams to ensure responsible AI delivery.

Collaboration, Leadership & Influence

  • Influence engineering and product teams to integrate secure engineering practices and align security with compliance, privacy, and responsible AI initiatives.

  • Advise senior leadership on AI security implications, architectural decisions, and long-term strategy while shaping roadmaps that anticipate emerging AI threats and regulatory requirements.

Testing, Analysis & Risk Management

  • Lead advanced security testing and risk assessments for AI-enabled systems, including threat modeling of agent workflows, abuse/misuse analysis, and secure design reviews of AI pipelines.

  • Evaluate and guide adoption of new AI security tools, ensuring protections maintain confidentiality, integrity, availability, and responsible data use.

Operational Response & Continuous Improvement

  • Provide senior technical leadership during incidents involving application or AI systems, guiding response strategies for misuse, data exposure, and autonomous failures.

  • Translate operational learnings into improved security architecture, controls, and system resilience.

Mentorship, Innovation & Strategy

  • Mentor senior and principal engineers to elevate security maturity across the organization.

  • Contribute to research and evaluation of emerging AI security practices and play a key role in shaping the long-term application and AI security roadmap, advocating for security as a strategic accelerator for AI adoption.

Required Qualifications
  • 10+ years of experience designing, building, and securing large-scale applications and platforms.

  • 7+ years of expertise in application security, including threat modeling, secure design, and vulnerability management.

  • 7+ years of programming experience in one or more languages such as Python, Java, JavaScript, C#, or Go.

  • 5+ years of experience of developing and securing AI and ML workloads, with recent experience in generative AI and agentic workloads.

  • 5+ years of experience public cloud platforms (AWS, Azure, and/or GCP) and modern application architectures.

  • 3+ years of experience with containerized, serverless, and microservice-based architectures.

Preferred Qualifications
  • Hands-on experience securing AI agents, RAG pipelines, and tool-using LLM systems.

  • Proven ability to lead complex security initiatives from concept through enterprise-scale adoption.

  • Familiarity with AI governance, responsible AI principles, and emerging AI security standards.

  • Experience integrating security controls into CI/CD pipelines for AI and application workloads.

  • Strong understanding of compliance frameworks (PCI, HIPAA, NIST, HITRUST, CSA).

  • Experience influencing security strategy beyond a single team, including enterprise or platform-level…

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