AI Cloud Security Engineer - Manager

Deloitte is seeking an AI Cloud Security Engineer, Manager to lead the security design and implementation of AI-enabled products and cloud environments.

Responsibilities

• Lead secure architecture design for generative AI, agentic AI, RAG, model serving, and AI-enabled enterprise applications
• Define security boundaries and implement AI Zero Trust controls across models, agents, tools, application interfaces, APIs, data, cloud workloads, development pipelines, and runtime environments
• Establish AI software development lifecycle security practices, including:
  • Threat modeling, security gates
  • Model and prompt versioning
  • Evaluation datasets and 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 on AWS, Microsoft Azure, Google Cloud, and hybrid environments, including:
  • Cloud landing zones and network isolation
  • Private connectivity, logging, encryption, key management
  • Data protection and container and serverless workloads
  • Kubernetes and infrastructure-as-code security controls
• Direct AI-assisted vulnerability and threat management:
  • Identify, analyze, prioritize, test, and remediate issues across code, applications, APIs, cloud configurations, infrastructure, dependencies, containers, and AI workloads
  • Set up 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 activities (architecture sessions, technical workshops, design reviews), program delivery, production deployment, and operational handoff
• Manage technical workstreams, mentor engineers, and create reusable reference architectures, standards, playbooks, and accelerators

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Artificial Intelligence, Cybersecurity, Computer Engineering, or Software Engineering; equivalent professional experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting may be considered in lieu of a degree
• 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
• Limited immigration sponsorship may be available

Technology Focus

• AI platforms: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, Vertex AI
• Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud
• Languages and frameworks: Python, TypeScript, JavaScript, Go, Java, React, Next.js, Node.js, FastAPI, GraphQL
• Security and policy: RAG, Kubernetes, Terraform, Open Policy Agent, Checkov, tfsec, Kyverno
• Testing and scanning: SAST, DAST, software composition analysis, secrets scanning
• APIs and systems: REST APIs, microservices, event-driven systems

Team

• Deloitte’s Cyber and Cloud Security teams help organizations adopt emerging technologies securely and at scale
• Work spans 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
• Capability operates at the intersection of AI, cybersecurity, cloud, and software delivery

Preferred

• 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 with 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 with policy-as-code and infrastructure-as-code security, including 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; or delivering AI, cybersecurity, cloud, or application security solutions for financial services or healthcare organizations

Location and Salary

• Location: El Segundo, CA (onsite)
• Salary: USD 134,500 to 265,100 per year
• Note: Disclosed range estimate has not been adjusted for geographic differential for the location where the position may be filled; reasonable estimate of current range is $134,500 to $265,100

Benefits

• You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program

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