Application Programming Interface (API), Artificial Intelligence (AI), Big Data, Computer Science, Consulting, Create Graphs, Data Science, Graph Search, Information Architecture, Java, NoSQL, Ontology, Production Management, Python Programming/Scripting Language, SPARQL, Scala Programming Language, Taxonomies
Work Location: ChicagoIL60606
Vendor Rate: ***
Contract duration: 6
Target Start Date: 29 Jul 2026
Does this position require Visa independent candidates only? Yes
**hybrid work set-up**
Job Details:
Must Have Skills
Amazon Neptune Graph Database, SPARQL
Data Engineering / ETL Pipelines
GraphRAG
Nice to have skills
Gen AI integration, Python Backend API Development
Detailed Job Description
Education Bachelors or Masters degree in Computer Science, Data Science, Information Architecture, or a related field.
Graph Databases Extensive hands on experience designing and managing production scale instances of Amazon Neptune.
Graph languages, specifically Gremlin or SPARQL.
Programming Advanced production coding in Python or JVM environments Java, Scala.
Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design enterprise ontologies, taxonomies, and graph schemas that reflect complex business structures.
Architect, configure, and scale Amazon Neptune database environments to handle billions of relationships.
Integrate knowledge graphs into GraphRAG pipelines to enhance contextual grounding and minimize AI hallucinations. Partner with AI teams to implement hybrid search architectures combining graph traversals with vector databases.
Interview Process (Is face to face required?)
No
Any additional information you would like to share about the project specs/ nature of work
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