Sr Consultant-Knowledge Graph - RAG Agentic AI Expert

Sr Consultant-Knowledge Graph / RAG Agentic AI Expert

You will join Dell, driving innovation at the intersection of knowledge graphs and Generative AI.

This role focuses on graph-based modeling and reasoning as well as GenAI, LLMs, and agentic workflows-delivering intelligent, explainable, and scalable solutions for Dell Services and platforms.

You will advance the state of the art in graph technologies, and LLM/multi-modal integration.

We work across research and engineering-partnering with leading academics, industry experts, and world-class teams-to advance methodologies, tools, and evaluation practices.

Our mission is to combine symbolic knowledge with statistical learning to deliver resilient AI that retrieves, reasons, and acts with confidence at scale.

Join us to do the best work of your career as a Sr Consultant-Knowledge Graph / RAG Agentic AI Expert and make a profound social impact our Data Science Team in Austin, Texas.

What you'll achieve

You will define and operationalize the semantic architecture-taxonomies, ontologies, and knowledge graphs-that enables autonomous, agentic AI workflows across Dell Services.

You will translate complex data into actionable decisions by grounding LLM/RAG systems in governed knowledge, designing robust evaluation and observability, and collaborating with leaders and engineers to drive measurable business outcomes.

You will:


* Define end-to-end architecture for LLM, RAG/GraphRAG, and multi-agent systems, including data pipelines, deployment, observability, governance, and cost controls.


* Design ontologies and taxonomies; build and operate enterprise knowledge graphs (Neo4j, RDF/OWL), integrating structured, semi-structured, and unstructured sources with lineage and scalable Cypher/SPARQL queries.


* Develop extraction and linking pipelines for entities and relations, including disambiguation, conflation, deduplication, canonicalization, and quality assurance.


* Build production LLM and agentic workflows (e.g., LangGraph, LlamaIndex) for KG enrichment and natural-language-to-graph query generation with safe tool use, tracing, and human-in-the-loop where needed.


* Implement advanced retrieval that blends vector search, symbolic reasoning, and KG retrieval, including GraphRAG, hybrid dense/sparse retrieval, ontology-guided search, and contextual agents.


* Establish evaluation and observability using OpenTelemetry, SLIs/SLOs, and metrics for RAG/GraphRAG/graphs-such as faithfulness, grounding, multi-hop accuracy, entity-resolution precision/recall/F1, link-prediction MRR/Hits@K, schema/SHACL validation rates, and query latency; lead metadata governance, audits, drift detection, and remediation with cross-functional teams.

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table.

Here's what we are looking for with this role:

Essential Requirements


* Deep expertise in taxonomy, ontology, and semantic ...