Cyber - Senior Consultant, AI Data Security
deloitteDenver, CO
Cyber - Senior Consultant, AI Data Security
Occupations
Information Security EngineersInformation Security AnalystsComputer Systems Engineers/ArchitectsIndustries
Computer Systems Design ServicesOther Scientific and Technical Consulting ServicesCustom Computer Programming ServicesAbout the role
Overview:
In this role you secure how enterprise data is ingested, transformed, retrieved, and used by GenAI, RAG, and agentic systems. You combine advisory with hands-on engineering to shape architecture, integrations, and production controls, while guiding junior practitioners. You’ll lead data-security workstreams and demonstrations, influencing delivery estimates and client outcomes. This position sits at the intersection of AI engineering and cyber, helping teams move from experiments to secure production. You’ll work with cross-functional teams to reduce data and access risk.
Responsibilities:
Lead discovery and data-flow analysis for RAG applications, agents, vector stores, and enterprise sources Design secure data architectures for ingestion, transformation, embeddings, indexes, retrieval, context assembly, caching, and memory Lead integrations with classification, catalog, lineage, DLP, encryption, secrets management, and fine-grained authorization services; engineer entitlement-aware retrieval and metadata-filtering patterns Plan and execute control testing for tenant isolation, access filtering, data leakage, and pipeline reliability; own a data security workstream; manage dependencies and milestones; provide day-to-day guidance to consultants Lead technical demonstrations and prototypes, and contribute architecture, effort, and estimation inputs to pursuits
Key requirements:
Designing and securing RAG or agentic data paths across ingestion, chunking, embeddings, vector indexing, retrieval, prompt context, outputs, and memory; cloud security experience (AWS, Azure, or GCP) Experience with vector, search, and/or data platforms such as 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 Building data pipelines with 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 related field Ability to travel 20%–50%; immigration sponsorship may be available Independent work style with collaborative mindset Clear written and verbal communication Attention to detail and quality of work AWS, Azure, or Google Cloud security patterns Pinecone, Weaviate, Milvus, pgvector, OpenSearch, Elasticsearch, Azure AI Search, Vertex AI Vector Search, Databricks, Snowflake Data security controls: classification, tagging, lineage, fine-grained access, metadata filtering, encryption, key management, tokenization, redaction, DLP
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JOB OVERVIEW
Experience level
Lead
Location
Denver, CO
Occupation
Information Security Engineers
Industry
Computer Systems Design Services
Posted
today
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