AI Cloud Security Engineer - Senior Consultant

Deloitte is seeking a Senior Consultant AI Cloud Security Engineer to design, build, and secure AI-enabled products and cloud environments. The role focuses on AI security architecture, secure AI software development, cloud security engineering, and AI-enabled vulnerability discovery and remediation.

Key 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 into 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 on 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 prior to high-impact remediation deployment.
• 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 planning, and operational handoff; create reusable reference architectures, technical standards, playbooks, and accelerators; mentor engineers and contribute to practice development.

Required Qualifications

• 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 the following AI platforms: 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 work performed and the clients and industries/sectors served.
• Limited immigration sponsorship may be available.

Technologies

• AI platforms: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, Vertex AI
• Programming and frameworks: Python, TypeScript, JavaScript, Go, Java, React, Next.js, Node.js, FastAPI, GraphQL
• APIs and networking: REST APIs (Representational State Transfer), REST APIs
• Cloud and orchestration: Amazon Web Services, Microsoft Azure, Google Cloud, Kubernetes
• Infrastructure and security tools: Terraform, Open Policy Agent, Checkov, tfsec, Kyverno
• Security testing and scanning: SAST (static application security testing), DAST (dynamic application security testing), software composition analysis, secrets scanning, container security tools

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, 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.

Role Details

• Location: El Segundo, CA (onsite)
• Compensation: USD 105,400 - 207,800 per year
• Experience level: Senior Consultant

Team Overview

Deloitte’s Cyber and Cloud Security teams help organizations adopt emerging technologies securely and at scale. The capability operates at the intersection of AI, cybersecurity, cloud, and software delivery, building reusable platforms, accelerators, reference architectures, and implementation patterns to support secure AI innovation from design through production.