Knowledge Graphs jobs
8 open roles for knowledge graphs, updated continuously as employers post them.
Hiring most here right now:
Staff AI Engineer
A remote-Canada staff AI engineer role at Acquia building retrieval, inference and agentic systems on a large data platform.
Director, Applied AI & Agentic Solutions
A director-level AI engineering leadership role at Coca-Cola in Atlanta overseeing delivery of AI and agentic solutions across digital products. Suited to a hands-on technical leader with strong people-management and enterprise AI delivery experience.
Principal Solution Architect – Agentic AI
A principal architecture role at Micron in Hyderabad, building agentic AI and root-cause-analysis platforms for engineering and manufacturing. Suited to an experienced solution architect with deep generative AI and multi-agent systems expertise.
Senior LLM Engineer
An onsite senior engineering role building and operating production LLM and multi-agent systems in Ahmedabad or Pune. It suits engineers with Python, LangGraph, cloud, MLOps, and agent-orchestration experience.
Knowledge Graph SME
Tiger Analytics needs a senior Toronto Knowledge Graph SME to build an enterprise Neo4j graph and integrate it with data-governance practices. The role requires at least six years of practical knowledge-graph and governance delivery experience, plus advanced Cypher skills.
Data Scientist
Full-time Data Scientist role focused on production LLM, RAG, and agentic AI systems across several Indian locations. It suits engineers with Python, retrieval, orchestration, and deployment experience.
Lead Engineer
Onsite Lead AI Engineer role in Delhi-NCR for a senior engineer with at least four years of experience building scalable AI and backend systems. You’ll lead agentic AI, multi-agent orchestration, knowledge graph, and production platform work.
Senior Software Engineer — Infra Agent Systems Remote India
A remote senior engineering role in India building AI agents and platform services for large-scale GPU operations. It suits backend and infrastructure engineers with distributed-systems and production-ownership experience.