Cyber - AI Cloud Security Engineer - Manager

As an AI Cloud Security Engineer, Manager on the Cyber and Cloud Security team, you will be responsible for:

• Leading 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
• Establishing and implementing 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
• Leading the design and implementation of secure AI workloads across Amazon Web Services (AWS), 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
• Directing AI-assisted vulnerability and threat management capabilities that identify, analyze, prioritize, test, and remediate issues across code, applications, APIs, cloud configurations, infrastructure, dependencies, containers, and AI workloads; establishing human approval and validation before high-impact remediation is deployed
• Designing and building 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
• Leading client discovery, architecture sessions, technical workshops, design reviews, program delivery, production deployment, and operational handoff; managing technical workstreams, mentoring engineers, and creating reusable reference architectures, standards, playbooks, and accelerators

• 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 mentor and 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
• 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 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 the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

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 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, Representational State Transfer (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, static application security testing (SAST), dynamic application security testing (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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.