Cyber - AI Cloud Security Engineer - Senior Consultant

Deloitte is seeking an AI Cloud Security Engineer, Senior Consultant to design, build, and secure next-generation AI-enabled products, platforms, and cloud environments.

This engineering-focused Senior Consultant role combines artificial intelligence (AI) security architecture, AI Zero Trust, secure AI software development, cloud security engineering, and AI-enabled vulnerability discovery and remediation.

You will apply hands-on software engineering, cybersecurity, and cloud architecture experience to lead delivery of production-quality solutions that help clients build resilient AI platforms and embed security throughout the technology lifecycle.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an AI Cloud Security Engineer, Senior Consultant on the Cyber and Cloud Security team, you will be responsible for:


* Designing secure architectures for generative AI, agentic AI, retrieval-augmented generation (RAG), model-serving, and AI-enabled enterprise applications; defining security boundaries and applying AI Zero Trust controls across models, agents, tools, application programming interfaces (APIs), data, cloud workloads, development pipelines, and runtime environments


* Embedding security across the AI software development lifecycle through threat modeling, security gates, model and prompt versioning, evaluation datasets, approval workflows, release criteria, and testing for prompt injection, data leakage, unsafe tool use, model abuse, and policy violations


* Designing and implementing secure AI workloads across Amazon Web Services, Microsoft Azure, Google Cloud, and hybrid environments, including cloud landing zones, network isolation, private connectivity, logging, encryption, key management, data protection, containers, serverless workloads, Kubernetes, and infrastructure-as-code controls


* Building AI-assisted capabilities to identify, analyze, prioritize, test, and remediate vulnerabilities across code, applications, APIs, cloud configurations, infrastructure, dependencies, containers, and AI workloads; implementing human approval and validation before high-impact remediation is deployed


* Developing production AI security applications and platforms using user experiences, APIs, backend services, microservices, event-driven workflows, RAG, model integrations, observability, and unit, integration, end-to-end, performance, security, and AI evaluation testing


* Leading client discovery, architecture sessions, technical workshops, design reviews, deployment, and operational handoff; creating reusable reference architectures, technical standards, playbooks, and accelerators; mentoring engineers and contributing to practice development

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 b...