Senior AI Security Engineer – Apps & Agentic Systems

Hispanic Alliance for Career Enhancement; Concord (NH); Hybrid; USD 107,000 - 284,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Paid time off

Wellness programs

Equity incentive

Job summary

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure AI-enabled applications, LLM integrations, and agentic workflows. You will drive secure design, threat modeling, and risk assessments across enterprise systems, partnering with engineering, product, privacy, and risk teams.

The role emphasizes responsible AI security, secure software development, and guidance on AI governance, with a focus on protecting data and preventing prompt injection, model abuse,

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.
• 3+ years of experience developing or securing AI, machine learning, or generative AI solutions.

Responsibilities

• Develop and maintain secure design patterns and guardrails for AI-enabled systems.
• Lead threat modeling, architecture reviews, and security assessments for applications and AI workflows.
• Define identity, access, data protection, observability, and governance controls for AI environments.
• Collaborate with AI platform, engineering, product, and data teams to ensure secure adoption.

Skills

Threat modeling

Secure design

AI security

Python

Java

JavaScript

C#

Go

Cloud platforms

Code review

Education

Bachelor's degree

Job description

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure AI-enabled applications, LLM integrations, and agentic workflows. You will drive secure design, threat modeling, and risk assessments across enterprise systems, partnering with engineering, product, privacy, and risk teams.

The role emphasizes responsible AI security, secure software development, and guidance on AI governance, with a focus on protecting data and preventing prompt injection, model abuse,