Cyber Manager: AI Security, Infrastructure

Position Summary As a Cyber for AI: Manager, Infrastructure in Deloitte's Cyber for AI team, you will lead client engagements that secure the cloud, network, container, and model-serving foundations used for generative artificial intelligence (AI) and agentic workloads. You will translate business and risk objectives into target architectures, remain involved in design and engineering decisions, and guide teams from assessment through implementation. You will also shape solutions during pursuits and help build repeatable delivery assets.Recruiting for this role ends on 05/31/2027.Work You'll DoAs a Cyber for AI: Manager, Infrastructure on the Infrastructure team, you will be responsible for:Leading secure AI landing-zone assessments, architecture workshops, and implementation programs across cloud, network, Kubernetes, and model-serving platforms.Translating workload, risk, performance, and operational requirements into target architectures for managed and self-hosted AI environments.Providing hands-on technical oversight through design reviews, infrastructure as code (IaC) and policy decisions, configuration and code reviews, and resolution of technical issues.Managing engagement scope, teams, milestones, quality, and client expectations.Coordinating dependencies across AI engineering, identity, data, application security, DevSecOps, and operations teams.Shaping solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans; develop reusable landing-zone blueprints, automation, and delivery methodsCoaching practitioners on engineering quality.The TeamDeloitte's Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. Within the practice, the Infrastructure capability focuses on secure AI landing zones, cloud and network architecture, container and model-serving platforms, policy automation, and observability.The team combines AI engineering and cyber capabilities across identity, data, infrastructure, application security, and operations. We work with clients to integrate security controls into the platform and delivery lifecycle so teams can move from experiments to production while managing access, data, and infrastructure risks. Qualifications6+ years of combined cybersecurity and AI engineering experience, including hands-on production work in both domains and experience architecting and leading production generative AI or agentic implementations, including technical decisions involving models, orchestration, identity, data, and infrastructure.Required Experience:Architecting and implementing secure AI landing zones across AWS, Azure, and/or Google Cloud environments including network, Kubernetes, container, and model-serving platforms.Security infrastructure including private connectivity, segmentation, egress control, gateways, service meshes, secrets, encryption, and operational telemetry.Implementing Infrastructure as Code (IaC), CI/CD, and policy-as-code using Terraform, CloudFormation, Bicep, Open Policy Agent, Gatekeeper, Kyverno, or comparable tools.Kubernetes configuration, deployment pipelines, and operational diagnostics.Leading client-facing technology or cyber engagements including scope, team management, delivery timelines, and quality management.Coordinating across AI Engineering, Identity, Data, Application Security, and DevSecOps teams.Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field.Ability to travel 20% 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 reusable technical assets, delivery methods, or automation for client engagements.Machine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow. AI platforms and model-serving technologies such as Amazon Bedrock/Bedrock AgentCore, SageMaker AI, Microsoft Foundry, Azure Machine Learning, Google Vertex AI, vLLM, KServe, NVIDIA Triton, NVIDIA Inference Microservices (NIM), or Ray Serve.Securing graphics processing unit (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 certificationsCertified Terraform Associate / Infrastructure Engineer ProfessionalA successful candidate would possess these skills:Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to mentor and provide clear guidance to othersThe 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 $134,500 to $265,100.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 Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at View email address on click.appcast.io. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 374527 Job ID 374527 Engineering and Product | Engineering ManagementSame job available in 50 locations