Cyber - AI Cloud Security Engineer - Manager

Position Summary

Deloitte is seeking an AI Cloud Security Engineer, Manager to lead the design, implementation, and security of artificial intelligence (AI)-enabled products, platforms, and cloud environments. This engineering-focused Manager role combines AI security architecture, AI Zero Trust, secure AI software development, cloud security engineering, and AI-enabled vulnerability discovery and remediation.

You will lead technical delivery for complex client programs, apply hands-on software engineering, cybersecurity, and cloud architecture expertise, and guide teams in building resilient AI platforms with security embedded throughout the technology lifecycle.

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

Work you'll do

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

A successful candidate would possess these skills:

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

The team

Deloitte’s Cyber and Cloud Security teams help organizations adopt emerging technologies securely and at scale. Our professionals work across 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.

This future-focused engineering capability operates at the intersection of AI, cybersecurity, cloud, and software delivery. The team builds reusable platforms, accelerators, reference architectures, and implementation patterns that help clients secure AI innovation from design through production.

Qualifications

Required:

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.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberES27

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.

Recruiting tips

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Our people and culture

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Our purpose

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Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers

Requisition code: 370529

• Bachelor’s degree or equivalent experience in IT, AI, cybersecurity, or related fields with 6+ years in software engineering, AI, cloud security, or technology consulting including leadership roles.
• Hands-on experience with AI platforms (e.g., OpenAI, Anthropic Claude) and cloud security architecture, secure application development, or AI security controls.
• Proficiency in developing and deploying APIs, distributed systems, or cloud applications using Python, TypeScript, JavaScript, Go, or Java with automated testing and observability.