Cyber -AI Cloud Security Engineer - Consultant

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

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

The successful candidate combines hands-on software engineering with cybersecurity and cloud architecture experience to implement production-quality solutions and help clients build resilient AI platforms with security embedded throughout the technology lifecycle.

At Deloitte, you will have opportunities to deepen your expertise across AI engineering, cloud security, secure software development, cybersecurity architecture, and emerging technology through technical learning, mentoring, communities of practice, and hands-on delivery.

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

Work you'll do

As an AI Cloud Security Engineer, 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; applying AI Zero Trust principles across models, agents, tools, application programming interfaces (APIs), data, cloud workloads, development pipelines, and runtime environments


* Embedding security throughout the AI software development lifecycle, including threat modeling, security gates, model and prompt versioning, evaluation datasets, approval workflows, release criteria, and AI-specific security testing; using AI coding tools with human review and secure engineering controls


* 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, policy-as-code controls, and automated remediation


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


* Developing production AI security applications and platforms using full-stack engineering, including 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


* Collaborating with client engineering, security, product, data, risk, architecture, and executive stakeholders to lead discovery, technical workshops, architecture sessions, design reviews, solution delivery, production d...