Lead Enterprise ML & Knowledge Graph Architect

Dell Technologies; Austin (TX); On-site; USD 170,000 - 250,000; Full time

Job summary

Dell Technologies is seeking a Sr. Consultant Machine Learning & Knowledge Graph Engineer in Round Rock, TX. You will architect, develop, and deploy enterprise ML and Knowledge Graph solutions, defining graph data strategies and enabling AI at scale.

The role requires deep graph expertise, RAG pipelines, and leadership to drive cross-functional collaboration with product and platform teams. The position emphasizes production-grade services, ontology design, and governance for a scalable

Qualifications

• Graph architectures designed and operated at enterprise scale (Neo4j and/or Stardog).
• Agentic AI and RAG engineering with graph-backed data environments.
• Distributed systems with PySpark, Kafka, and data-lake tech integration.
• Hands-on graph algorithms and integrating graph features into ML pipelines.
• 12+ years in data engineering/graph architecture, 4+ years in KG initiatives.
• Strong leadership and stakeholder influence across teams.

Responsibilities

• Lead architecture, development, and deployment of enterprise ML/KG solutions.
• Drive MLOps standards and production-grade graph services at scale.
• Collaborate with engineering, product, and platform teams across Dell.
• Design semantic data layers and enterprise ontology layouts for KG.
• Mentor Senior Advisors and engineers, promoting best practices.

Skills

Graph Architecture

Agentic AI

Distributed Systems

Graph Data Science

12+ years experience

Education

PhD or Master’s degree

Tools

Neo4j

Stardog

Cypher

SPARQL

GDS

Kafka

Job description

Dell Technologies is seeking a Sr. Consultant Machine Learning & Knowledge Graph Engineer in Round Rock, TX. You will architect, develop, and deploy enterprise ML and Knowledge Graph solutions, defining graph data strategies and enabling AI at scale.

The role requires deep graph expertise, RAG pipelines, and leadership to drive cross-functional collaboration with product and platform teams. The position emphasizes production-grade services, ontology design, and governance for a scalable