Senior AI Security Engineer - Apps & Agents

Hispanic Alliance for Career Enhancement; Little Rock (AR); On-site; USD 107,000 - 284,000; Full time

Benefits offered by this job

Comprehensive benefits

Bonus opportunities

Equity program

Job summary

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure AI-enabled apps and agentic workflows. You will define secure patterns, model threats, and guide product and engineering teams on secure development practices across enterprise AI initiatives.

You will collaborate with AI platforms, data teams, and privacy/compliance teams to implement governance, identity, data protection, and observability controls while driving responsible AI adoption.

Qualifications

• 7+ years 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 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 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.
• Serve as a subject matter expert supporting the security of AI-enabled applications and agentic systems.
• Review architectures utilizing large language models, retrieval augmented generation pipelines, AI agents, and AI-powered workflows.
• Define and recommend identity, authorization, data protection, observability, and governance controls for AI environments.
• Collaborate with AI platform, engineering, product, and data teams to ensure secure and responsible AI adoption.
• Perform threat modeling, architecture reviews, and security assessments for applications and AI-enabled systems.
• Conduct security analysis of AI workflows, model integrations, agent interactions, and data flows.
• Partner with engineering teams to prioritize and remediate security findings.
• Evaluate emerging AI security tools and technologies to improve organizational security posture.
• Influence engineering teams to integrate security controls into development processes and product roadmaps.
• Partner with privacy, compliance, legal, and risk teams to align security controls with organizational requirements.
• Provide guidance on AI security considerations, emerging threats, and industry best practices.
• Participate in strategic initiatives supporting secure AI adoption across the enterprise.
• Mentor security engineers and development teams on secure coding, threat modeling, and AI security best practices.
• Contribute to the evaluation of emerging AI security research, technologies, and industry standards.
• Help advance the organization's application and AI security strategy through innovation and technical leadership.

Skills

Threat modeling

Secure design

Code review

Vulnerability management

Python

Java

JavaScript

C#

Go

AI security

Cloud platforms

Education

Bachelor's degree in computer science or related field

Tools

AWS

Azure

Google Cloud Platform

Job description

CVS Health is seeking a Staff Application Security Engineer - AI & Agentic Systems to secure AI-enabled apps and agentic workflows. You will define secure patterns, model threats, and guide product and engineering teams on secure development practices across enterprise AI initiatives.

You will collaborate with AI platforms, data teams, and privacy/compliance teams to implement governance, identity, data protection, and observability controls while driving responsible AI adoption.