Senior AI Security Engineer: Secure AI Lifecycle

SRI; Irving (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental, Vision coverage

401(k) with company match

Short-term disability

Life Insurance with AD&D

Job summary

SRI Resources seeks a Senior Security Engineer, AI to design, implement, and monitor security controls across the full AI lifecycle for models, data, pipelines, and AI-enabled apps. You will collaborate with product, engineering, data science, and compliance to reduce risks from misuse, leakage, and adversarial AI threats.

You will lead secure-by-design patterns, data protection, and governance while delivering measurable improvements in AI security governance, detection, and incident response.

Qualifications

• 8+ years in Information Security; 5+ years in security engineering or related fields
• At least 3 years of experience in AI Security
• Experience securing LLM-based applications, RAG systems, or agentic workflows
• Familiarity with adversarial ML concepts (prompt injection, model inversion, extraction)
• Experience with one or more cloud platforms (AWS, Azure, GCP)
• Hands-on in programming (Python preferred)
• Strong understanding of AI, LLMs, API security, identity, secrets management, and cloud controls
• Experience building security controls into CI and CD pipelines
• Proven ability to lead cross-functional security work with engineering/product teams
• Excellent communication to leadership and stakeholders
• Proven leadership and change-driving capabilities

Responsibilities

• Secure the AI and ML lifecycle across development, training, evaluation, deployment, and monitoring
• Threat model AI systems and features, establish secure-by-design patterns for endpoints and workflows
• Protect data used by AI, including PII and PCI data; define retention and lineage requirements
• Harden AI platforms, GPU containers, model registries, and artifact stores
• Build detections and incident response playbooks for AI threats
• Develop security standards, patterns, and reference architectures for AI security
• Lead risk reviews for new AI features and vendor assessments
• Train teams on secure AI patterns and common attack paths
• Collaborate with Privacy and Legal on data handling and third-party data use

Skills

AI Security

Cloud Security

LLM Security

CI/CD Security

Python

Security Engineering

Leadership & Communication

Education

Bachelor's degree in Cybersecurity, Computer Science, or related field

Tools

GitHub Actions

GitLab CI

Azure DevOps

Terraform

Job description

SRI Resources seeks a Senior Security Engineer, AI to design, implement, and monitor security controls across the full AI lifecycle for models, data, pipelines, and AI-enabled apps. You will collaborate with product, engineering, data science, and compliance to reduce risks from misuse, leakage, and adversarial AI threats.

You will lead secure-by-design patterns, data protection, and governance while delivering measurable improvements in AI security governance, detection, and incident response.