AI Security Engineer Manager
About the role
This role plays a critical role in securing the development and deployment of AI/ML and Generative AI solutions. The position requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.
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.
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.
Qualifications
Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Business Administration
Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
Minimum 1 year of people and/or process management experience
Preferred:
Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
Knowledge of data protection, identity/access management, and secure architecture patterns
Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
Strong communication skills with the ability to translate technical concepts into business-relevant insights
Pay
The wage range for this role is $118,700 to $243,700. The actual salary will be determined based on factors such as skill set; experience and training; licensure and certifications; and other business and organizational needs.
Schedule
The schedule for this role is full-time.
Benefits
At Deloitte, we offer a comprehensive benefits package that includes:
Health, dental, and vision insurance
Retirement savings plans
Flexible spending accounts
Employee assistance programs
Professional development programs
Wellness programs
Company Information
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
Contact Information
To apply for this role, please visit Deloitte's careers page.