AI Security Engineer Manager

Role Overview

As an AI Security Engineer Manager, you will assume a pivotal position in overseeing the secure development and deployment of AI, Machine Learning, and Generative AI solutions. This involves direct engagement with prominent projects, embedding security, trust, and resilience within AI systems, while fostering prompt and responsible advancement.

Key Responsibilities

• Architect and implement AI-driven solutions that prioritize security from inception, ensuring a balance between business priorities and risk reduction.
• Participate hands-on in the design, architecture, and creation of AI/ML and Generative AI platforms with integrated security controls across the software development lifecycle, including code evaluation, testing, and deployment.
• Manage defensive AI technologies and oversee their operational evolution.
• Detect and mitigate AI-specific risks such as prompt injection, data leaks, model tampering, and unauthorized misuse, establishing safeguards that uphold system integrity and reliability.
• Lead technical guidance as a trusted authority on AI security, ensuring solutions align with organizational and customer goals.
• Maintain stringent quality standards related to code robustness, scalability, and security, promoting secure coding, reusable patterns, and continuous improvements within engineering teams.
• Support iterative innovation by enabling swift experimentation under secure and controlled risk-aware development practices.
• Collaborate closely across product, engineering, cybersecurity, and risk teams to ensure AI security integration, balancing usability, performance, and protection.
• Develop and refine AI security standards, addressing data protection, access control, model validation, and monitoring within DevSecOps and MLOps workflows.
• Effectively communicate technical risks, trade-offs, and solutions to both technical and non-technical audiences, fostering informed decisions.

Preferred Qualifications

• Bachelor's degree or equivalent in Computer Science, Computer Engineering, or Business Administration.
• At least 6 years of relevant experience involving software engineering, cybersecurity, and/or AI/ML implementations, with practical delivery expertise.
• Minimum of 1 year managing people and/or processes.
• In-depth understanding of AI and Generative AI technologies and their security challenges, including prompt injection, data exposures, and adversarial threats.
• Proficient in developing and securing applications using Python, JavaScript, or similar languages, coupled with experience in ML frameworks like PyTorch and TensorFlow.
• Knowledgeable about secure development methodologies (DevSecOps) and embedding security within CI/CD and MLOps pipelines.
• Familiarity with cloud platforms such as AWS, Azure, GCP, and associated cloud-native security practices.
• Expertise in data protection, identity and access management, and secure system architecture patterns.
• Ability to work cross-functionally, mentor engineering staff, and cultivate a collaborative engineering culture.
• Strong communication capabilities to translate complex technical content into business-relevant insights.

Additional Information

Recruiting for this position is ongoing until October 10, 2026.

The compensation range for the role is approximately $118,700 to $243,700 annually, based on a variety of factors including skills, experience, certifications, and organizational needs. Compensation is further influenced by location specifics and individual qualifications. Participation in a discretionary annual incentive program may be available contingent upon program rules and individual and company performance.

Desired Skills & Work Qualities

• Ability to operate independently and collaboratively within teams.
• Effective communication abilities, both verbal and written.
• High attention to detail and commitment to quality deliverables.
• Skill in fostering and maintaining professional relationships.
• Proven leadership in managing projects or workstreams.
• Adeptness in prioritizing and handling multiple tasks within dynamic, fast-paced environments.
• Strong interpersonal skills and professional conduct.
• Capability to meet deadlines consistently.
• Mentorship skills, providing clear guidance to team members.

About the Team

The Deloitte Technology US unit supports the firm's success by developing innovative solutions enhancing operational effectiveness and market leadership. The technology team includes around 3,000 professionals across areas such as Cyber Security, Technology Support, Infrastructure, Applications, and more.

The Cyber Security group is focused on protecting client and company data through strategic risk management portfolios, situational awareness, threat intelligence, and fostering a strong security culture.

Core Cybersecurity Domains

• Risk and Compliance Management
• Identity and Access Management
• Data Protection Strategies
• Cyber Architecture Design
• Incident Response
• Security Architecture Consulting
• Business Partnership Relations