Design, implement, and maintain high-speed GraphRAG ingestion pipelines transforming relational data and unstructured ESG reports into operational graph databases.
Build automated entity resolution pipelines using NER and entity linking to unify vendor profiles, SKUs, and facility coordinates into canonical graph nodes.
Partner with AI/ML engineers to build low-latency GraphRAG retrieval layers, optimizing Cypher and SPARQL queries and implementing NL2Query tools for autonomous agents.
Work closely with enterprise customers to implement graph-powered solutions from design to production roll-out.
Design graph data models and architectures to support complex relationships and high-performance querying.
Act as a trusted technical advisor, providing guidance on best practices for graph technology and AI integration.
Neo4j is the graph intelligence platform that transforms data into knowledge to power next-generation AI and intelligent applications. The company has over 600 employees, is valued at over $2Bn, and serves 84% of the Fortune 100.
Design and evolve enterprise knowledge graph platforms integrating structured and unstructured data for reasoning and inference.
Define ontology standards, govern lifecycle management, and guide technical decisions across semantic architecture and AI integration.
Partner with product and engineering teams to build scalable, practical models that impact real-world supply chain challenges.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple Top Employer awards, we foster a culture of innovation, collaboration, and social responsibility.
Design a cutting-edge Knowledge Graph foundation on Azure/Microsoft Fabric to power LLM-driven content discovery.
Drive GenAI strategy and align technical direction with client stakeholders.
Define ontology, source-to-graph integrations, and phased data roadmap.
ArcTouch creates lovable apps, websites, and connected experiences for world-class companies and startups. Founded in 2009, it is a specialty studio within the AKQA Group, fostering diverse teams and a culture of ownership.
Lead the design and optimization of modern data architectures for AI-driven applications.
Manage hybrid database environments and implement ETL/ELT strategies.
Act as a technical advisor and collaborate with engineering teams to deliver scalable solutions.
The partner company specializes in designing and building advanced data platforms for AI-driven applications. They foster a collaborative and inclusive culture with a focus on continuous learning and professional development.