Cyber - Senior Consultant, AI Data Security

As a Sr Consultant: AI Data Security in Deloitte's Cyber for AI team, you will own technical workstreams that secure how enterprise data is ingested, transformed, retrieved, and used by GenAI, RAG, and other agentic systems. You will combine client advisory with hands-on engineering to translate requirements into architecture, integration, and production controls. You will guide junior practitioners, lead demonstrations, and help estimate delivery work.

Recruiting for this role ends on 05/31/2027.

Work You'll do As a Sr Consultant: AI Data Security on the Data team, you will be responsible for:

• Lead discovery and data-flow analysis for RAG applications, agents, vector stores, enterprise sources, and downstream outputs.
• Design secure data architectures for ingestion, transformation, embeddings, indexes, retrieval, context assembly, caching, and memory.
• Lead integrations with classification, catalog, lineage, data loss prevention (DLP), encryption, secrets management, and fine-grained authorization services; engineer entitlement-aware retrieval and metadata-filtering patterns across structured and unstructured data sources.
• Plan and execute control testing for tenant isolation, access filtering, data leakage, and pipeline reliability; own a data security workstream; manage dependencies and milestones; and provide day-to-day guidance to consultants.
• Lead technical demonstrations and prototypes, and contribute architecture, effort, and estimation inputs to pursuits.

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, the 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

3-5+ years of combined cybersecurity and AI engineering experience, including hands-on production work in both domains and experience designing, integrating, and securing production generative AI, RAG, or agentic workloads, including model, tool, and enterprise data connections.

Required Experience:

• Designing and securing RAG or agentic data paths across ingestion, chunking, embeddings, vector indexing, retrieval, prompt context, outputs, and memory, and experience with data security patterns in AWS, Azure, or Google Cloud.
• Implementing vector, search, and/or data platforms including Pinecone, Weaviate, Milvus, pgvector, OpenSearch, Elasticsearch, Azure AI Search, Vertex AI Vector Search, Databricks, or Snowflake
• Data security controls for classification, tagging, lineage, fine-grained access, metadata filtering, encryption, key management, tokenization, redaction, and DLP.
• Designing, building, and reviewing data pipelines using Python, SQL, Spark, Kafka, Airflow, cloud-native data services, Git, and CI/CD practices.
• Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field.
• Ability to travel 20% 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:

• 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 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; 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 $105,400 to $207,800.

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.