US E - Consulting Services - Cyber Digital Trust & Privacy - Cyber for AI - Sr Manager: Infrastructure Security

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. Security infrastructure including private connectivity, segmentation, egress control, service-to-service security, tenant isolation, secrets management, encryption, resilience, and observability. Implementing Infrastructure as Code (IaC), CI/CD, and policy-as-code using Terraform, CloudFormation, Bicep, Open Policy Agent, Gatekeeper, Kyverno, or comparable tools. Reviewing architecture, automation, platform configuration, and critical prototypes. Guiding teams through infrastructure decisions. Leading consulting client engagements, technical pursuits, executive relationships, delivery quality, and account growth. Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field. Ability to travel 25% to 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred Experience: Managed AI services and self-hosted or open-weight AI platforms. AI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring. Building offerings, reusable technical assets, alliance relationships, or market-facing points of view. Machine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow. AI platforms and model-serving technologies (Amazon Bedrock, Bedrock AgentCore, SageMaker AI, Microsoft Foundry, Azure Machine Learning, Google Vertex AI, vLLM, KServe, NVIDIA Triton or NVIDIA Inference Microservices (NIM), or Ray Serve). Securing GPU infrastructure, model and container registries, software supply chains, signed artifacts, service meshes, or multi-tenant inference environments. Certifications (Preferred) Certified Information Systems Security Professional (CISSP) Certified Cloud Security Professional (CCSP) Certified Kubernetes Administrator (CKA) / Security Specialist (CKS) AWS / Azure / GCP Cloud certifications Certified Terraform Associate / Infrastructure Engineer Professional A 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 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 $163,400 to $322,100. 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. #LI-DT6