Senior AI Security Architect

Healthfirst; Layton (UT); On-site; USD 120,000 - 194,000; Full time

Job summary

Healthfirst is seeking a Sr AI Security Engineer to continuously monitor vulnerabilities and design security controls for AI-enabled platforms. You will apply cyber security expertise across IT infrastructure and application development, focusing on secure AI integrations and governance.

The role requires hands-on testing of LLM/RAG/agentic AI solutions, risk assessment of data handling, and collaboration with AI teams to protect PHI/PII and credentials.

Qualifications

• Technical degree in Computer Science or Cyber Security and/or equivalent work experience.
• Experience in security engineering, vulnerability assessment, threat hunting, and incident response.
• Experience securing production generative AI or LLM applications.

Responsibilities

• Perform security architecture reviews and threat modeling for AI-enabled applications.
• Conduct hands-on security testing of LLM, RAG, and agentic AI solutions.
• Identify vulnerabilities including prompt injection, sensitive-data exposure, insecure retrieval, excessive permissions, unsafe tool use, and authorization weaknesses.
• Assess security risks associated with AI agents, APIs, model integrations, vector databases, and third‑party AI services.
• Partner with developers and AI engineering teams to design and implement practical security controls.
• Develop reusable security patterns and guardrails for common AI architectures.
• Build or automate security tests and tools used to evaluate AI applications.

Skills

AI security

Security testing

Threat modeling

Vulnerability assessment

Cloud security

Python

CI/CD security

AI governance

Education

Bachelor's or technical degree in Computer Science or Cyber Security

Tools

Terraform

Bicep

CloudFormation

Azure OpenAI

AWS Bedrock

Vertex AI

Job description

Healthfirst is seeking a Sr AI Security Engineer to continuously monitor vulnerabilities and design security controls for AI-enabled platforms. You will apply cyber security expertise across IT infrastructure and application development, focusing on secure AI integrations and governance.

The role requires hands-on testing of LLM/RAG/agentic AI solutions, risk assessment of data handling, and collaboration with AI teams to protect PHI/PII and credentials.