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Ally Financial is seeking an experienced AI security engineer to secure the end-to-end AI/ML lifecycle across data, models, and deployment pipelines. You will implement defenses for AI/LLM systems, establish governance, and strengthen DevSecOps practices across teams.
The role requires hands-on security engineering expertise with production AI/ML experience and collaboration with AI/ML, Cloud Engineering, DevOps, and business stakeholders to deliver secure and reliable technology solutions.
Ally and Your Career Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.
Own the security of AI at enterprise scale. As AI moves into production workflows and developer tooling, you'll be the engineer who makes sure it's secure, governed, and resilient - hardening ML and LLM pipelines, defending against AI-specific attacks, and turning AI into a force multiplier for security operations. You'll pair deep DevSecOps and SRE fundamentals with cutting-edge AI security practice, and serve as the technical anchor for AI risk across every environment zone.
Secure the end-to-end AI/ML lifecycle, including training data, models, deployment pipelines, LLM integrations, RAG, agentic workflows, and production monitoring. Implement protections for AI/LLM systems, including prompt injection and jailbreak defense, guardrails, output validation, adversarial testing, data leakage prevention, and AI supply chain security. Establish AI governance practices covering model risk, privacy, explainability, bias/drift monitoring, compliance, audit requirements, and approval processes. Develop AI-assisted security and operational capabilities to improve incident response, automate repetitive work, reduce toil, and increase efficiency. Strengthen DevSecOps practices through CI/CD security, SAST/DAST, container security, vulnerability management, infrastructure-as-code, and shift-left security. Maintain application and infrastructure reliability through monitoring, alerting, SLO/SLA management, disaster recovery, resiliency, and observability tools such as Dynatrace, Splunk, and CloudWatch. Lead incident response, root cause analysis, production troubleshooting, vulnerability remediation, and preventative actions in a 24x7 environment. Automate manual processes using Python and Bash and identify opportunities to improve workflows and reduce technical debt. Partner with AI/ML, Cloud Engineering, DevOps, application teams, business stakeholders, and third‑party vendors to deliver secure and reliable technology solutions. Support regulatory and compliance requirements, including SOX, PCI, OCC, and FRB controls and audit evidence. Provide technical leadership through mentoring, code reviews, engineering standards, release/change management, and best practices.
5+ years of hands‑on experience in DevSecOps, Security Engineering, AI/ML Engineering, SRE, or a related enterprise technology role. Hands‑on experience securing AI/ML or LLM systems in production, or strong security engineering experience combined with practical AI/ML experience. Strong knowledge of AI/LLM security, MLOps/MLSecOps, AI governance, and secure RAG/agentic architectures. Experience with AWS, Terraform, Docker/ECS/EKS, CI/CD platforms, SAST/DAST/SCA, vulnerability management, and secrets/network security. Experience with observability and monitoring technologies such as Dynatrace, Splunk, and CloudWatch. Proficiency with Python and/or Bash for automation. Strong production support experience, including incident management, RCA, application availability, SLA management, disaster recovery, and on‑call support. Understanding of regulatory, data privacy, supply chain security, and enterprise change‑management requirements. Ability to serve as a senior individual contributor and technical leader, communicate with both technical and business audiences, and drive solutions across multiple teams. Experience supporting enterprise applications, infrastructure, and databases such as Oracle, SQL Server, and Exadata is beneficial.
Minimum Qualifications: 3+ year's of relevant experience. Bachelor's Degree in Information Technology, Computer Science, Engineering or equivalent.
Ally's compensation program offers market-competitive base pay and pay‑for‑performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life.
To view more detailed information about Ally’s Total Rewards, please visit this link: https://www.ally.com/content/dam/pdf/corporate/ally-total-rewards-snapshot.pdf
Base Pay Range $85,000.00 - $150,000.00. An individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer.
Incentive Compensation: This position is eligible to participate in our annual incentive plan.
Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law. In accordance with the Americans with Disabilities Act, if after review of the position expectations, you believe that you may need a medical accommodation to fulfill the duties of this role, please email hrpolicy@ally.com with details of your accommodation request.
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