AI Security Engineer Jobs

AI Security Engineer jobs are open across defense, fintech, healthcare, and enterprise tech, from early-career to principal and staff levels, with specializations in adversarial machine learning defense, model security, and AI red-teaming. Find a role that fits below and apply directly.

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Overview

Open roles669+
Top stateCalifornia
Top employerDeloitte
Top citySan Francisco, CA
Work type41% Hybrid
Top industryTechnology

Showing 5 of 669+ AI Security Engineer jobs

AI Identity Security Engineer (Sailpoint)
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New 4h ago
AI Identity Security Engineer (Sailpoint)
Regions Financial
Hoover, Alabama
Customer Success
Growth Marketing
Marketing
$133k.84 - $167k/yr
High school diploma or GED
10,000+

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AI Security & Endpoint Automation Engineer
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New 7h ago
AI Security & Endpoint Automation Engineer
NTT DATA
Irving, Texas
Administrative & Office Support
Project & Program Management
Project Management
Remote (US)
Master's degree
10,000+

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AI Security Engineer
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New 8h ago
AI Security Engineer
Continental Resources, Inc
Bedford, Massachusetts
Quality Assurance & Testing (QA Testing)
Software Engineering
Technical Product & Program Management
$180k - $200k/yr

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Cyber Manager: AI Data Security
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New 16h ago
Cyber Manager: AI Data Security
Deloitte
Rochester, New York
Cybersecurity
Solutions Engineering & Architecture
Technical Product & Program Management
Data Science & Analytics
Technical Program Management
$265k/yr
On-Site
Bachelor's
10,000+

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Cyber - Senior Consultant, AI Data Security
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New 18h ago
Cyber - Senior Consultant, AI Data Security
Deloitte
Morristown, New Jersey
Cloud Engineering
Engineering (Non-Software)
Solutions Engineering & Architecture
Technical Program Management
$105k - $208k/yr
Bachelor's degree in information technology
10,000+

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AI Security Engineer Job Market

Who's Hiring

  • Deloitte22
  • Booz Allen Hamilton22
  • Meta20
  • Amazon13
  • JPMorganChase12

Top Industries Hiring

  • Technology & Software24
  • Education8
  • Banking & Financial Services7
  • Investment & Asset Management7
  • Healthcare & Medical Services5

What Employers Look For

The qualifications that appear most often in AI security engineer jobs.

  • Experience securing machine learning models against adversarial attacks and data poisoning
  • Proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch
  • Background in penetration testing, red-teaming, or vulnerability research
  • Knowledge of cloud security principles across AWS, Azure, or Google Cloud environments
  • Relevant certifications such as CISSP, OSCP, or equivalent security credentials
  • Bachelor's or master's degree in computer science, cybersecurity, or a related technical field

Tips for Your AI Security Engineer Job Search

Tailor your resume to AI threat models

Hiring managers for ai security engineer roles scan for specific attack surfaces: prompt injection, model inversion, data poisoning, and adversarial inputs. List the ones you've worked with by name, not just 'AI security experience,' so your resume clears automated filters.

Certify your machine learning security knowledge

Credentials like OSCP, CISSP, or GMLPT signal depth to recruiters who may not fully understand the AI security stack. If you hold none yet, completing a recognized red-teaming or MLSecOps course strengthens your profile before you apply.

Apply early to roles that fit

Migrate Mate lists ai security engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Target job postings mentioning your toolchain

AI security engineer postings vary widely, so filter for the frameworks you know, whether that's TensorFlow, PyTorch, or specific MLOps pipelines. Applying to roles that name your tools cuts mismatched interviews and raises your callback rate.

Prepare a threat-modeling walkthrough for interviews

Most ai security engineer interviews include a live or take-home exercise where you assess a model deployment for vulnerabilities. Practice narrating your reasoning aloud as you identify attack vectors, because interviewers score your process as much as your findings.

Negotiate scope, not just compensation

AI security is still being defined inside many organizations, so your offer conversation should clarify reporting structure, red-team authority, and whether you're building policy or executing it. Ambiguity here leads to role drift within six months.

AI Security Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most ai security engineers?

The most active employers for ai security engineers right now are Deloitte, Booz Allen Hamilton, and Meta, and the most openings are in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially high at organizations with large model deployment pipelines and regulated data environments.

How many ai security engineer jobs are remote?

About 67% of ai security engineer openings are fully remote or hybrid as of November 2026, reflecting the security industry's growing comfort with distributed security teams. Sub-specializations like threat modeling, policy writing, and red-teaming tend to be the most remote-friendly, while roles requiring hands-on access to classified or on-prem infrastructure are more likely to require an in-office presence.

How do you become a ai security engineer?

Start with a foundation in cybersecurity or software engineering, then build hands-on familiarity with machine learning frameworks so you understand how models are trained, deployed, and attacked. Study adversarial machine learning techniques, practice red-teaming model deployments, and earn a recognized security certification. Contributing to open-source AI safety or security research projects demonstrates applied skills that employers look for beyond credentials.

How do you get hired as an ai security engineer with little experience?

Focus on the intersection of two skills you may already have: general security fundamentals and working knowledge of Python or an ML framework. Build a small public project that demonstrates you can identify a vulnerability in a model deployment, even a simple one. Applying to roles labeled 'associate' or 'junior' at companies actively building AI products gives you the best chance of breaking into the field without an extensive prior record in the specialty.

What does the ai security engineer interview process look like?

Most processes include an initial screening call, a technical phone or video round covering security fundamentals and ML concepts, and a practical exercise where you assess a system or model for vulnerabilities. Final rounds typically involve a panel with security leadership and machine learning engineers, and you may be asked to present your threat analysis. Soft-skills conversations around cross-functional communication are common because ai security engineers work closely with both research and product teams.

Where can I find and apply to ai security engineer jobs?

You can find and apply to ai security engineer jobs on Migrate Mate, which lists current openings from across the United States. The listings cover roles at every level and in multiple industries, from defense contractors to enterprise software companies. Find roles that fit your skills and experience, then apply directly to each listing from the page.

See All 669+ AI Security Engineer Jobs

Find roles that match your experience and apply in just a few clicks.

Find AI Security Engineer Jobs