AI Cloud Security Engineer - Manager

Deloitte is seeking an AI Cloud Security Engineer, Manager to lead the design, implementation, and security of AI-enabled products, platforms, and cloud environments. This role sits at the intersection of AI security architecture, cloud engineering, and secure software delivery, with a focus on building AI workloads that can be deployed safely in production.

The Cyber and Cloud Security teams at Deloitte support organizations as they adopt emerging technologies securely and at scale. You will partner across security architecture, cloud engineering, application security, AI, and technology transformation, helping clients embed security into how platforms and services are built and operated.

What you’ll do

• Lead the design of secure architectures for generative AI, agentic AI, retrieval-augmented generation (RAG), model serving, and AI-enabled enterprise applications, defining security boundaries and AI Zero Trust controls across models, agents, tools, application programming interfaces (APIs), data, cloud workloads, development pipelines, and runtime environments.
• Establish and implement security practices across the AI software development lifecycle, including 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 (AWS), Microsoft Azure, Google Cloud, and hybrid environments, covering cloud landing zones, network isolation, private connectivity, logging, encryption, key management, data protection, containers, serverless workloads, Kubernetes, and infrastructure-as-code controls.
• Direct AI-assisted vulnerability and threat management capabilities to identify, analyze, prioritize, test, and remediate issues across code, applications, APIs, cloud configurations, infrastructure, dependencies, containers, and AI workloads, including human approval and validation before high-impact remediation is deployed.
• Build 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 automated testing.
• Lead client discovery, architecture sessions, technical workshops, design reviews, program delivery, production deployment, and operational handoff, while managing technical workstreams, mentoring engineers, and creating reusable reference architectures, standards, playbooks, and accelerators.

What you bring

• Bachelor’s degree in Information Technology, Computer Science, Artificial Intelligence, Cybersecurity, Computer Engineering, or Software Engineering, or equivalent professional work experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting.
• 6+ years of professional experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting, including leadership of AI, software engineering, cloud security, cybersecurity, or technology transformation programs.
• Hands-on experience with at least one AI platform: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI.
• Experience designing or implementing cloud security architecture, secure application development, DevSecOps practices, 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.
• Limited immigration sponsorship may be available.

Technologies you may work with

• AI platforms: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, Vertex AI
• Cloud: AWS, Microsoft Azure, Google Cloud
• Engineering: Python, TypeScript, JavaScript, Go, Java, Kubernetes, Terraform
• Security and policy: Open Policy Agent, Checkov, tfsec, Kyverno, static application security testing (SAST), dynamic application security testing (DAST), software composition analysis, secrets scanning
• Application and API: React, Next.js, Node.js, FastAPI, GraphQL, REST APIs, microservices, event-driven systems
• AI patterns: RAG, model integrations

Preferred qualifications

• 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, including 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, or delivering AI, cybersecurity, cloud, or application security solutions for financial services or healthcare organizations.

Location: Cleveland, OH (onsite). Salary: USD 134,500 - 265,100 per year. Incentive: You may also be eligible to participate in a discretionary annual incentive program, subject to program rules.