Cyber - AI Cloud Security Engineer - Senior Consultant

Deloitte is seeking a Cyber - AI Cloud Security Engineer - Senior Consultant to design, build, and secure next-generation AI-enabled products, platforms, and cloud environments. This role sits at the intersection of AI security architecture, secure software development, and cloud security engineering, with a focus on AI-enabled vulnerability discovery and remediation.

Working onsite in Cincinnati, OH
, you will help define security boundaries for generative and agentic systems, strengthen controls across the AI lifecycle, and deliver production-ready AI security capabilities for client environments spanning major cloud platforms and hybrid deployments.

• Design 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.
• Embed 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.
• Design and implement 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.
• Build AI-assisted capabilities to identify, analyze, prioritize, test, and remediate vulnerabilities across code, applications, APIs, cloud configurations, infrastructure, dependencies, containers, and AI workloads, with human approval and validation before high-impact remediation is deployed.
• Develop 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.
• Lead client discovery, architecture sessions, technical workshops, design reviews, deployment, and operational handoff, creating reusable reference architectures, technical standards, playbooks, and accelerators, and mentoring engineers while contributing to practice development.

• 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 work streams.
• 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 provide clear guidance to others.
• Bachelor’s degree in Information Technology, Computer Science, Artificial Intelligence, Cybersecurity, Computer Engineering, or Software Engineering; equivalent professional work experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting may be considered in lieu of a degree.
• 3+ years of professional experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting, including hands-on experience designing and implementing software, AI, cloud security, or cybersecurity solutions.
• Hands-on experience using at least one of:
  Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI.
• Experience…