Staff AI Security Engineer – Agentic Systems

Hispanic Alliance for Career Enhancement

Baton Rouge (LA)

On-site

USD 107,000 - 284,000

Full time

9 days ago

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Job summary

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure the next generation of AI-enabled applications and agentic workflows. This senior technical contributor partners with engineering, product, platform, and data teams to embed security into design, development, and operation across traditional and AI-driven solutions.

You will define secure design patterns, conduct threat modeling, guide teams on secure development, and promote responsible AI controls.

Qualifications

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

Responsibilities

  • Develop and maintain security standards for applications and AI systems.
  • Promote secure-by-design principles across development lifecycles and AI workflows.
  • Define secure design patterns for AI agents, prompt management, and integrations.
  • Review architectures using LLMs, RAG pipelines, AI agents, and AI-powered workflows.
  • Perform threat modeling, architecture reviews, and security assessments.

Skills

Threat modeling
Secure design
Code review
Vulnerability management
AI security
Public cloud
Cross-functional leadership

Education

Bachelor's degree

Job description

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure the next generation of AI-enabled applications and agentic workflows. This senior technical contributor partners with engineering, product, platform, and data teams to embed security into design, development, and operation across traditional and AI-driven solutions.

You will define secure design patterns, conduct threat modeling, guide teams on secure development, and promote responsible AI controls.

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