Cyber Senior Manager: AI Security, Infrastructure

As a Cyber for AI Infrastructure Sr.

Manager on Deloitte's Cyber for AI team, you will help clients address cloud and infrastructure security challenges across managed and self-hosted artificial intelligence (AI) platforms.

This role combines client leadership with hands-on delivery using infrastructure security and AI engineering experience to architect, build, and deploy production-grade solutions.

You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and deliver outcomes for clients and teams.

Recruiting for this role ends on 05/31/2027.

Work you'll do

As a Cyber for AI Infrastructure Sr.

Manager on the Infrastructure team, you will be responsible for:


* Advising security, infrastructure, technology, and AI leaders on secure platform strategy for managed and self-hosted AI workloads.


* Leading multi-workstream infrastructure programs from current-state assessment and target architecture through implementation and operational adoption.


* Defining scalable control patterns for network isolation, Kubernetes, model serving, graphics processing unit (GPU) environments, infrastructure as code, policy enforcement, software supply chain, and observability.


* Providing hands-on technical oversight through architecture reviews, critical prototypes, platform decisions, and resolution of complex delivery issues.


* Leading pursuits and account growth by shaping differentiated solutions, demonstrations, scope, estimates, pricing inputs, and delivery approaches.


* Overseeing client relationships, engagement quality, delivery risk, and customer satisfaction while building practice capability through offerings, alliances, reusable accelerators, technical guidance, and development of future leaders.

The team

Deloitte's Cyber for AI team helps organizations secure generative AI and agentic systems from design through production.

The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security, and operations.

We work with clients to make security controls part of the platform and delivery lifecycle so teams can move from experiments to production without creating unmanaged access, data, or infrastructure risk.

Within the team, the Infrastructure capability focuses on secure AI landing zones, cloud and network architecture, container and model-serving platforms, policy automation, and observability.

Qualifications

8+ years of combined cybersecurity and AI engineering experience including hands-on production work in both domains and experience shaping and delivering production generative AI or agentic programs, including managed or self-hosted architectures and enterprise control integration.

Required Experience:


* Designing and securing AI landing zones and infrastructure across AWS, Microsoft Azure, or Google Cloud including cloud and network architecture, Kubernetes, container, GPU, and model-serving platforms.


* Secu...