AI Security Engineer Manager

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions.

You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation.

Recruiting for this role ends on 10/10/2026.

Work you'll do

You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions.

This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.

Key Responsibilities

Secure, Outcome-Driven Delivery
Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation.

Solve complex problems while ensuring protection of data, models, and systems.

Hands-On AI Security Engineering
Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls.

Integrate security across the SSDLC, including code reviews, testing, and deployment.

In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.

AI Risk Identification and Mitigation
Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse.

Implement practical safeguards to ensure system integrity and trustworthiness.

Technical Leadership and Advocacy
Serve as a trusted technical voice for secure AI engineering.

Ensure solutions are feasible, secure, and aligned with business and customer objectives.

Engineering Excellence with Security Focus
Maintain high standards for code quality, scalability, and security.

Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.

Iterative and Responsible Innovation
Support rapid experimentation while applying appropriate security guardrails.

Enable teams to innovate safely through controlled, risk-aware development practices.

Cross-Functional Collaboration
Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions.

Balance usability, performance, and security in decision-making.

Standards and Best Practices
Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

Communication and Influence
Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders.

Contribute to alignment and informed decision-making.

Impact

This role directly contributes to reducing enterprise risk and strengthening trust in AI systems.

Your work will enable secure adoption of AI capabilities while prote...