Senior AI Security Engineer: Secure AI & DevSecOps

Jobicy; United States; Hybrid; USD 123,000 - 163,000; Full time

Job summary

Tenable is seeking an AI Security Engineer to shape and mature our approach to securing AI across products and enterprise. You will apply hands-on AI engineering with product security to design controls, lead assessments, and build tooling that raises security postures.

Ideal candidates have 5+ years in information security, 1–2 years securing AI/ML systems, and strong Python/Go coding skills. This hybrid role offers contributions across architecture, governance, and deployment security.

Qualifications

• 5+ years in information security or application security
• 1–2 years focused on securing AI/ML systems
• Strong coding in Python and/or Go
• Experience with ML/AI security frameworks and tools

Responsibilities

• Design end-to-end security controls for the AI/ML lifecycle
• Perform AI safety assessments and threat modeling
• Develop security reference architectures for AI deployment patterns
• Collaborate with engineers and product teams to embed security
• Drive SSDLC and DevSecOps for AI-powered products
• Create security guidance, documentation and training

Skills

Python

Go

PyTorch

Transformers

TensorFlow

TransformerLens

Captum

LIT

Docker

Microservices

Cloud security

Education

Master’s degree in Computer Science, Cybersecurity, Data Science or related field

Tools

AWS

Azure

GCP

Job description

Tenable is seeking an AI Security Engineer to shape and mature our approach to securing AI across products and enterprise. You will apply hands-on AI engineering with product security to design controls, lead assessments, and build tooling that raises security postures.

Ideal candidates have 5+ years in information security, 1–2 years securing AI/ML systems, and strong Python/Go coding skills. This hybrid role offers contributions across architecture, governance, and deployment security.