Cyber Senior Consultant: AI Security, Infrastructure

As a AI Infrastructure Senior Consultant in our Cyber for AI team, you will lead technical workstreams that secure how artificial intelligence (AI) agents, workloads, and users authenticate, receive permissions, and access enterprise tools and data.

You will combine client advisory and hands-on engineering to translate requirements into architecture, integration, and production controls.

You will guide junior practitioners, lead demonstrations, and help estimate delivery work.

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

Work you'll do

As an AI Infrastructure Senior Consultant on the Infrastructure team, you will be responsible for:


* Owning an infrastructure workstream, managing dependencies and milestones, providing day-to-day guidance to consultants, and contributing technical demonstrations, prototypes, architecture, effort, and estimation inputs to pursuits.


* Leading discovery and architecture analysis for managed AI services, self-hosted model stacks, cloud foundations, networks, and operational tooling.


* Designing and deploying secure AI landing zones and model-serving environments across AWS, Azure, Google Cloud, or Kubernetes-based platforms.


* Leading implementation of network isolation, private access, egress controls, cluster security, secrets management, artifact controls, infrastructure as code (IaC), and policy enforcement.


* Engineering and reviewing Kubernetes and model-serving patterns for tenant isolation, GPU workloads, autoscaling, resilience, and controlled enterprise integration.


* Planning and executing platform security, resilience, and operational testing.


* Diagnosing complex failures and driving issues through resolution.

The Team

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

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.

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

Qualifications

3-5+ years of combined cybersecurity and AI engineering experience, including hands-on production work in both domains and experience designing, integrating, and securing production generative AI, retrieval-augmented generation (RAG), or agentic workloads, including model, tool, and enterprise data connections.

Required:


* Hands-on experience designing and securing cloud, network, Kubernetes, container, and model-serving platforms in AWS, Azure, or Google Cloud, including secure AI landing zones.


* Experience implementing network segmentation, private connectivity, egress controls, Domain Name System (DNS), Transport Layer Security (TLS), firewalls, gateways, service meshes, and enterprise integration patterns.


* E...