Sr. Consultant Machine Learning & Knowledge Graph Engineer

Dell
Texas
Workplace: OnsiteFull timeUSD 235,450 - 304,700Function: Data Science & Machine LearningExperience: 12+ yearsEducation: mastersSkills: ["Mentorship","Stakeholder management","Communication","Advisory","Engineering culture"]

Lead the architecture, development, and deployment of enterprise-scale machine learning and knowledge graph solutions across Dell’s global ecosystem. Drive MLOps standards and production-grade ML services while collaborating with engineering, product, and platform teams. Build Knowledge Graph platforms and ontology/semantic layers that power agentic AI via graph-backed RAG systems, federated data virtualization, and continuous graph ingestion at low latency—paired with operationalizing graph algorithms and governance frameworks.

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FursaFursa
Dell
Dell
1 month ago

Sr. Consultant Machine Learning & Knowledge Graph Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Lead the architecture, development, and deployment of enterprise-scale machine learning and knowledge graph solutions across Dell’s global ecosystem. Drive MLOps standards and production-grade ML services while collaborating with engineering, product, and platform teams. Build Knowledge Graph platforms and ontology/semantic layers that power agentic AI via graph-backed RAG systems, federated data virtualization, and continuous graph ingestion at low latency—paired with operationalizing graph algorithms and governance frameworks.
Location: Texas
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the architecture, development, and deployment of enterprise-scale machine learning and knowledge graph solutions across Dell’s global ecosystem.
  • •Drive MLOps standards and build production-grade ML services, partnering with engineering, product, and platform teams to enable AI at scale.
  • •Architect knowledge graph platforms using Neo4j and/or Stardog, defining graph-native data models for entity resolution, relationship discovery, and semantic reasoning.
  • •Design semantic layers and enterprise ontologies (OWL 2) and govern schemas and taxonomies to enable consistency, reusability, and inferencing.
  • •Build graph-backed agentic AI infrastructure, including graph-backed RAG systems, dynamic prompt-to-graph query pipelines, federated/virtualized graph layers, streaming ingestion, governance (SHACL/SHEX, RBAC, lineage), and operationalize graph algorithms (e.g., embeddings and graph analytics).

Pay and Benefits

Salary: USD 235,450 - 304,700

Key Requirements

  • •Extensive hands-on experience designing and operating production-grade knowledge graph systems using Neo4j (Cypher, GDS, APOC, AuraDB, Causal Clustering) and/or Stardog (SPARQL, OWL 2 reasoning, Virtual Graphs, SHACL validation).
  • •Strong ontology and semantic modeling experience, including enterprise ontology engineering (OWL 2 profiles, RDF/RDFS, SKOS), property graph modeling patterns, and schema evolution at scale.
  • •Deep practical experience building graph-backed data environments for autonomous agents, including knowledge retrieval pipelines, tool-calling orchestration, and hybrid vector-graph search architectures.
  • •Expert-level command of distributed systems and data scale using PySpark, Kafka, data lakehouses (Apache Iceberg, Delta Lake), and orchestration (Airflow), with strong Python, SQL, Cypher, and SPARQL skills and software engineering practices.
  • •12+ years of progressive experience in data engineering, graph architecture, and cloud-native platform delivery, including at least 4+ years focused on knowledge graph or semantic technology initiatives at enterprise scale.
Experience:12+ yearsData engineeringKnowledge graphsSemantic technologyCloud-nativeDistributed systems
Education:Master's in Technology, Computer Science, Machine Learning or equivalent quantitative field
Skills:MentorshipStakeholder managementCommunicationAdvisoryEngineering culture
Languages:English
Tech Stack:Neo4jCypherNeo4j GDSAPOCAuraDBCausal ClusteringStardogSPARQLOWL 2Virtual GraphsSHACLSHExRDFRDFSSKOSRAGRetrieval-Augmented GenerationGQLVector-graph hybrid searchGraph neural networks

Company Brief

Dell
Designs, manufactures and sells computers, servers, storage, networking equipment, and related IT solutions and services for consumers, small businesses, and enterprises worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Round Rock, United States
Founded: 1984
Glassdoor
Glassdoor: 3.8
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