Graph Data Engineer – Amazon Neptune - W2 Only

Job Title: Graph Database / Graph RAG Engineer Work Location: Chicago, IL 60606 Rate: $43/hr w2 or $50/hr c2c Client: INFOSYS Position: 2 Contract duration: 6 Target Start Date: 01 Oct 2026 hybrid work set-up Job Details: Must have skills: Amazon Neptune Graph Database, SPARQL Data Engineering / ETL Pipelines Graph RAG Nice to Have Skills: Gen AI integration, Python Backend API Development Job Description: Education Bachelors or Masters degree in Computer Science, Data Science, In

Description We are seeking an experienced and passionateSenior Knowledge Graph Developerto design, build, and scale our enterprise knowledge graph initiatives. In this role, you will be the technical lead responsible for transforming complex, siloed data into an interconnected, semantic knowledge layer. You will bridge the gap between data engineering, ontology design, and AI/ML applications, ensuring our knowledge graphs are performant, governed, and instrumental in powering our next-generation

Role- AI Architect Knowledge Graph Experience-1218 years overall, including 4+ years designing and delivering knowledge graph or graph-backed AI systems in production Function-AI / Data Architecture client-facing delivery and pre-sales solutioning Location-Chicago, IL- Onsite Rate- $70/hr Role Summary We are hiring a Lead AI Architect to own knowledge graph architecture across client engagements. This is a hands-on architecture role, not a management one: you will design the ontology, choose

Job Overview We are seeking a highly skilled AWS Software / Data Engineer to build scalable, production-grade capabilities supporting student intelligence, predictive risk, personalization, knowledge retrieval, and AI context services. The ideal candidate will have strong hands-on experience across Python, AWS, Terraform, data engineering, software development, and AI/ML services. This role focuses on building reliable, reusable production capabilities rather than being limited to data pipelines