Delivery Lead- AI and Ontology Engineer
Acuity Analytics (company site, opens in a new tab)8–12 yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and scale enterprise AI solutions using semantic technologies, knowledge graphs, and agentic AI.
- Lead development of no-code/low-code AI-powered data pipelines and ontology-based knowledge ecosystems.
- Architect and provide technical leadership for AI, ontology, and knowledge graph platforms integrating enterprise data and systems.
Minimum Requirements
- 8+ years experience in AI Engineering, Data Engineering, Knowledge Management, or Semantic Technologies.
- Hands-on expertise with Large Language Models, Agentic AI frameworks, ontology design, and knowledge graph implementations.
- Mandatory proficiency in Python; experience with graph databases like Neo4j, Stardog, or similar.
- Work location: Bengaluru, Karnataka, India; Experience range: 8-12 years; Permanent employee type.
Ideal Candidate Profile
- Experienced in architecting and delivering large-scale AI and knowledge graph enterprise platforms.
- Skilled in integrating AI orchestration with enterprise APIs, data warehouses, and multi-domain semantic models.
- Capable of leading technical teams and collaborating with business stakeholders to translate complex requirements into operational AI solutions.