AI Cloud Security Engineer - Manager

Deloitte seeks an AI Cloud Security Engineer, Manager to lead the design, implementation, and security of AI-enabled products, platforms, and cloud environments. This role emphasizes AI security architecture, AI Zero Trust, and secure AI software development across cloud and hybrid deployments.

Key Responsibilities

• 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, 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 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, with 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 and architecture sessions through technical workshops, design reviews, program delivery, production deployment, and operational handoff; manage technical workstreams, mentor engineers, and develop reusable reference architectures, standards, playbooks, and accelerators.

Minimum Requirements

• Bachelor’s degree in Information Technology, Computer Science, Artificial Intelligence, Cybersecurity, Computer Engineering, or Software Engineering; or equivalent professional 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, 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 client engagements and served industries/sectors.
• Limited immigration sponsorship may be available.

Technologies and Tools

• AI and model platforms: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, Vertex AI
• Cloud: AWS, Microsoft Azure, Google Cloud
• Programming and frameworks: Python, TypeScript, JavaScript, Go, Java, React, Next.js, Node.js, FastAPI, GraphQL
• APIs and architecture: REST APIs, GraphQL, Representational State Transfer (REST) APIs, microservices, event-driven systems
• Cloud and security automation: Kubernetes, Terraform, Open Policy Agent, Checkov, tfsec, Kyverno
• Security testing and scanning: SAST, DAST, software composition analysis, secrets scanning
• Additional concepts: RAG

Team Context

• Deloitte’s Cyber and Cloud Security teams help organizations adopt emerging technologies securely and at scale.
• Professionals collaborate across security architecture, cloud engineering, application security, AI, risk, and technology transformation to design resilient platforms and embed security into how technology is built and operated.
• The capability operates at the intersection of AI, cybersecurity, cloud, and software delivery, building reusable platforms, accelerators, reference architectures, and implementation patterns to help clients secure AI innovation from design through production.

Preferred Qualifications

• Experience securing Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI in production environments.
• 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, automated remediation, or related toolchains 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; or delivering AI, cybersecurity, cloud, or application security solutions for financial services or healthcare organizations.

Compensation and Location

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