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.
Responsibilities
- 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.
Requirements
- 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 workstreams.
- 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 designing or implementing cloud security architecture, secure application development, development, security, and operations (DevSecOps), infrastructure security, or AI security controls.
- Experience developing and deploying APIs, database-backed services, distributed systems, or cloud applications using Python, TypeScript, JavaScript, Go, or Java, including automated testing, deployment, and observability.
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Technologies
- Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, Vertex AI
- Amazon Web Services, Microsoft Azure, Google Cloud
- Python, TypeScript, JavaScript, Go, Java, React, Next.js, Node.js, FastAPI, GraphQL
- REST, REST APIs, Representational State Transfer (REST APIs)
- Terraform, Open Policy Agent, Checkov, tfsec, Kyverno
- static application security testing (SAST), dynamic application security testing (DAST), software composition analysis, secrets scanning
- container security tools, Kubernetes, containers, serverless
Preferred
- Production experience securing Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI.
- Experience designing AI Zero Trust architectures or implementing security controls for models, agents, tools, data, and AI runtime environments.
- Experience conducting AI red teaming, adversarial testing, model evaluation, prompt security testing, RAG security testing, or responsible AI control testing.
- Experience developing applications using React, Next.js, Node.js, FastAPI, GraphQL, REST APIs, microservices, or event-driven systems.
- Experience implementing policy-as-code and infrastructure-as-code security, or automated remediation using Terraform, Open Policy Agent, Checkov, tfsec, Kyverno, SAST, DAST, software composition analysis, secrets scanning, or container security tools.
- Experience securing Kubernetes, containers, serverless platforms, cloud-native applications, or software supply chains.
The Team
Deloitte’s Cyber and Cloud Security teams help organizations adopt emerging technologies securely and at scale. Professionals work across security architecture, cloud engineering, application security, AI, risk, and technology transformation to help clients design resilient platforms and embed security into how technology is built and operated.
This future-focused engineering capability operates at the intersection of AI, cybersecurity, cloud, and software delivery. The team builds reusable platforms, accelerators, reference architectures, and implementation patterns that help clients secure AI innovation from design through production.
Compensation: USD 105,400 - 207,800 per year.
