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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Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system.
Job Description:
At Regions, the Cloud DevSecOps Engineer contributes to the advancement of cloud strategy. The primary focus of this role includes developing, communicating, and implementing robust and secure cloud continuous integration and continuous delivery (CI/CD) pipelines. This role works closely with stakeholders to create fully automated pipelines which support current DevSecOps best practices.
Primary Responsibilities
Partners with other engineers and information technology staff to orchestrate code builds, quality and security analyses, deployments, and automated testing through CI/CD release candidacy pipelines
Articulates business needs and translate them into technology solutions
Models release candidate CI/CD pipelines as a mechanism to communicate the states and steps necessary to determine a release candidate for each application and service
Designs and develops fully autonomous CI/CD pipelines which facilitate cloud deployments which includes automation of all infrastructure, services and application build and deployment
Ensures that all parts of the pipeline follow good software engineering practices to include automated tests and infrastructure tests
Researches new technologies that will improve efficiency and effectiveness
Implements highly scalable CI/CD platforms to support high change volumes and fast feedback
Automates operational activities and tasks
Responds to performance issues identified by alerts and reported incidents related to CI/CD platforms
Builds tools which reduce errors and improve our overall customer experiences
Assists in troubleshooting of production issues and ensure pipeline and infrastructure produces clear documentation and metrics which enables Root Cause Analysis
Develops and tests – Ansible Playbooks, Terraform Scripts, Packer Scripts and establish immutable infrastructure such that patches are an artifact of the past
Works with Enterprise Architecture, Information Security (InfoSec), Software Delivery, and Quality Assurance to enable the organization to move to the cloud using complete automation
Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices; identifies opportunities for and supports process improvements; applies disciplined change management practices
This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.
Requirements
High School Diploma or GED and eight (8) years of related post-secondary education and/or experience in Information Security or Information Technology
Preferences
Four (4) years of relevant DevSecOps experience
AWS DevOps certification or Azure DevOps certification
Experience in building / deploying cloud native applications – OpenShift, Azure Kubernetes Service (AKS)
Experience in observing real-time metrics in the pipeline and deployment strategies – Blue/Green, Canary Deployment
Experience with either AWS or Azure cloud technologies
Experience with interfacing with secrets management solutions like Hashicorp Vault
Familiar with implementing Chaos engineering principles in the pipeline to determine weak links and suggest solutions.
Familiar with testing tools used to facilitate automation and integration of the tools into CI/CD pipelines
Must be comfortable in developing pipelines as code using yaml specs, ansible playbooks
Skills and Competencies
Ability to interpret and ensure compliance with applicable rules, regulations, and industry guidance
Excellent communication skills and willing to mentor developers and other team members in the art of DevSecOps
Excellent knowledge of Cloud infrastructure, networking, services, and cloud architectural patterns; specifically, compute using virtual machines, managed infrastructure, containers, serverless, as well as database services, security services, and application services
Proficient in python programming language
Understanding of Shift Left principles and facilitation technologies
Working Knowledge of Jenkins, Azure DevOps, Ansible, Terraform, Packer, Git, ServiceNow a big plus
Additional Responsibilities:
Own lifecycle and access governance foundations for AI agents and non-human identities, anchored in SailPoint and enterprise IAM systems
Establish and scale access review, certification, and provisioning processes tailored to AI and agentic use cases
Mature identity governance for NHI, ensuring consistent onboarding, entitlement management, and automated deprovisioning controls
Collaborate with security, authorization, and platform teams to align lifecycle controls with runtime enforcement and policy decision points
Drive the roadmap toward centralized governance of agent identity, access, and compliance across cloud environments
Preferred Experience:
Strong background in identity governance automation, IAM, or DevSecOps, with hands-on engineering experience; familiarity with AI/ML systems, agentic architectures, and their associated security risks
Hands-on experience developing and customizing solutions within SailPoint, including writing and maintaining custom code
Proven experience automating access reviews and certification processes for non-human identities (NHIs)
Advanced proficiency in SQL and Java, with the ability to build, optimize, and troubleshoot complex solutions
This position is currently offsite, preferably close to a Regions office within our retail branch footprint (click here to see our locations). Associates will work from their home primarily and may be expected to go on site for meetings or other events as needed.
Position Type Full time
Compensation Details
Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.
The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.
Job Range Target:
Minimum: $133,059.85 USD
Median: $166,810.00 USD
Incentive Pay Plans: This job may participate in an annual discretionary bonus plan.
Benefits Information
Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.
Paid Vacation/Sick Time
401K with Company Match
Medical, Dental and Vision Benefits
Disability Benefits
Health Savings Account
Flexible Spending Account
Life Insurance
Parental Leave
Employee Assistance Program
Associate Volunteer Program
Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.
https://www.regions.com/about-regions/welcome-portal/benefits
Location Details Riverchase Operations Center
Location: Hoover, Alabama
Equal Opportunity Employer/including Disabled/Veterans
Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.
AI Security Engineer Jobs by Experience Level
See All 669+ AI Security Engineer Jobs
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Find AI Security Engineer JobsAI 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