Senior AI Security Engineer – Applications & Agentic Systems

Hispanic Alliance for Career Enhancement

Columbia (SC)

On-site

USD 107,000 - 284,000

Full time

10 days ago

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Job summary

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure AI-enabled applications and agentic systems. You will partner with engineering, product, platform, and data teams to embed security into design, development, and operation.

As a senior technical contributor, you will define secure design patterns, conduct threat modeling and risk assessments, guide engineering teams on secure development practices, and support responsible AI security across the

Qualifications

  • 7+ years designing, building, or securing enterprise-scale applications and platforms.
  • 5+ years of application security including threat modeling, secure design, code review, and vulnerability management.
  • 5+ years of programming in Python, Java, JavaScript, C#, or Go.
  • 3+ years developing or securing AI, ML, or generative AI solutions.
  • 3+ years of experience with AWS, Azure, or Google Cloud Platform.

Responsibilities

  • Develop and maintain application and AI security standards, best practices, and guardrails.
  • Promote secure-by-design principles across lifecycles.
  • Establish secure design patterns for AI agents, prompt management, tool integrations, memory handling, and autonomous workflows.
  • Partner with engineering teams to identify and mitigate AI-specific security risks.

Skills

Threat modeling
Secure design
Code review
Security standards
Public cloud experience

Education

Bachelor's degree or equivalent

Tools

AWS
Azure
GCP

Job description

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure AI-enabled applications and agentic systems. You will partner with engineering, product, platform, and data teams to embed security into design, development, and operation.

As a senior technical contributor, you will define secure design patterns, conduct threat modeling and risk assessments, guide engineering teams on secure development practices, and support responsible AI security across the

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