AI Data Security in Deloitte's Cyber for AI team, you will lead client engagements that secure how enterprise data is ingested, transformed, retrieved, and used by RAG and agentic systems. You will translate business and risk objectives into target architecture, remain directly involved in critical design and engineering decisions, and guide teams from assessment through implementation. You will also shape solutions during pursuits and help build repeatable delivery assets. AI Data Security, you will be responsible for: Leading AI data security assessments, architecture workshops, and implementation programs for RAG and agentic systems. Translating data use cases and risk requirements into target architectures spanning sources, pipelines, vector stores, retrieval, context, outputs, and memory. Remaining directly involved in design reviews, entitlement and metadata decisions, critical pipeline and policy reviews, and resolution of high-risk technical issues. Managing engagement scope, teams, milestones, quality, and client expectations while maintaining a clear path from design to production adoption. Coordinating data security dependencies across identity, cloud, network, AI engineering, application security, privacy, and operations teams. Coaching practitioners on engineering quality. The Team Deloitte's Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security, and operations. We work with clients to make security controls part of the platform and delivery lifecycle, so teams can move from experiments to production without creating unmanaged access, data, or infrastructure risk. Within the team, our Data capability focuses on how enterprise data is discovered, classified, retrieved, transformed, and protected across RAG pipelines, vector stores, model context, and agent memory.
Qualifications:
6+ years of combined cybersecurity and AI architecture & engineering experience, including leading production generative AI or agentic implementations across models, orchestration, identity, data, and infrastructure.
Designing and implementing data security controls in either AWS, Azure, and/or Google Cloud with experience with data security patterns in the other two platforms.
Architecting and implementing secure RAG and agentic data platforms across structured and unstructured enterprise sources.
Vector, search, and data platforms including tenant isolation, document- or row-level entitlements, metadata filtering, and identity-aware retrieval.
Integrating classification, catalog, lineage, fine-grained access, encryption, key management, tokenization, redaction, and data loss prevention (DLP) technologies into production data paths.
Reviewing or developing Python and SQL pipelines, access-control logic, validation tooling, and CI/CD integrations.
Leading client-facing technology or cyber engagements with responsibility for scope, teams, timelines, quality, and executive stakeholders.
Bachelor's Degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field; Ability to travel 20-50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred
Experience:
Managed AI services and self-hosted or open-weight AI platforms. AI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring. Building reusable technical assets, delivery methods, or automation for client engagements. Machine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow. AI data services such as Amazon Bedrock Knowledge Bases, Microsoft Foundry with Azure AI Search, Google Vertex AI RAG Engine, or Databricks AI capabilities. Enterprise data security and governance platforms such as Microsoft Purview, Amazon Macie and Lake Formation, Google Sensitive Data Protection, BigID, Collibra, Immuta, or Privacera.
Certifications:
(Preferred) Certified Information Systems Security Professional (CISSP) Certified Cloud Security Professional (CCSP) Certified Data Privacy Solutions Engineer (CDPSE)AWS / Azure / GCP Cloud certifications Databricks and/or Snowflake certification(s) Data Engineering certifications 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 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; 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.#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.It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. Deloitte's purpose is to make an impact that matters for our people, clients, and communities. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. 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.