AI Security Engineer Senior Manager

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy

Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale

Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance

Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions

Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls

Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent

Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely

Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders

Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

• Cyber Security
• Technology Support
• Technology & Infrastructure
• Applications
• Relationship Management
• Strategy & Communications
• Project Management
• Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

• Risk & Compliance
• Identity & Access Management
• Data Protection
• Cyber Design
• Incident Response
• Security Architecture
• Business Partnership

Qualifications

Required:

• Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
• Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
• Minimum 2 years of people and/or process management experience

Preferred:

• Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI
• Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches
• Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps)
• Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations
• Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $282,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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