Senior AI Security Engineer for Applications & Agents

Hispanic Alliance for Career Enhancement; Pierre (SD); On-site; USD 107,000 - 284,000; Full time

Job summary

CVS Health is seeking a Staff Application Security Engineer focused on AI & Agentic Systems to secure next‑gen AI-enabled applications and agentic workflows across the enterprise.

You will define secure design patterns, conduct threat modeling, guide engineering teams on secure development practices, and drive responsible AI security controls in collaboration with product, platform, and data teams.

Qualifications

• 7+ years designing, building, or securing enterprise-scale applications.
• 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.
• 3+ years of experience with public cloud platforms including 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 application and AI development 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 such as prompt injection, model abuse, data leakage, and unauthorized agent actions.
• Review architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows.

Skills

Enterprise-scale security

Application security

Programming in Python/Java/JavaScript

Threat modeling

Education

Bachelor's degree

Tools

AWS

Azure

Google Cloud Platform

Job description

CVS Health is seeking a Staff Application Security Engineer focused on AI & Agentic Systems to secure next‑gen AI-enabled applications and agentic workflows across the enterprise.

You will define secure design patterns, conduct threat modeling, guide engineering teams on secure development practices, and drive responsible AI security controls in collaboration with product, platform, and data teams.