Production AI Security Engineer

Cybersecurity Jobs; Dallas (TX); On-site; USD 159,000 - 202,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Sign-on bonus

Job summary

Cybersecurity Jobs seeks a Security Engineer in Dallas, TX to strengthen production AI deployments by reviewing designs, conducting threat modeling, and building repeatable security practices. You will work on agentic workflows, RAG pipelines, and model integrations with guidance from senior engineers.

The role emphasizes vulnerability pre-release, security automation, and guardrail testing within customer environments, with up to 25% travel and a strong focus on AI/ML security design.

Qualifications

• Bachelor’s degree in computer science or equivalent is required.
• 2+ years of threat modeling, secure coding, and security analysis is expected.
• 2+ years of scripting, programming, and security code review in common languages is expected.

Responsibilities

• Review security designs and code for production AI systems.
• Perform threat modeling and penetration testing for AI/ML apps.
• Build security automation, including scanning tools and CI/CD gates.
• Implement AI-specific security controls (prompt injection, output filtering, data isolation).
• Assist with security incident response and remediation under guidance.
• Document findings and remediation guidance as reusable playbooks.

Skills

Threat modeling

Security design reviews

Penetration testing

Automation scripting

Cloud security

Education

Bachelor's degree in computer science or equivalent

Tools

Python

Bedrock

IAM

RAG

CI/CD

Job description

Cybersecurity Jobs seeks a Security Engineer in Dallas, TX to strengthen production AI deployments by reviewing designs, conducting threat modeling, and building repeatable security practices. You will work on agentic workflows, RAG pipelines, and model integrations with guidance from senior engineers.

The role emphasizes vulnerability pre-release, security automation, and guardrail testing within customer environments, with up to 25% travel and a strong focus on AI/ML security design.