NC
AI Knowledge Engineer
NR Consulting - India
🇮🇳 India
On-site
1 week ago
- AI
- RAG
- Python
- Azure AI
- Azure OpenAI
- Microsoft Fabric
- Microsoft Graph
- Copilot
- Confluence
- ServiceNow
1 week ago
Location: Pan India
Exp: 7+ Yrs
Job Description:
Key Responsibilities
• Design enterprise taxonomies, ontologies, metadata frameworks and semantic models.
• Build and maintain knowledge graphs and semantic search architectures.
• Design and optimise RAG, Agentic RAG and GraphRAG solutions.
• Develop chunking, embedding, indexing, retrieval, reranking and grounding strategies.
• Implement vector databases and retrieval pipelines for structured and unstructured content.
• Build Python-based ingestion, enrichment and knowledge pipelines on cloud platforms.
• Define knowledge quality, governance, lineage, discoverability and lifecycle standards.
• Partner with domain experts to convert business knowledge into reusable AI-ready assets.
• Evaluate retrieval quality, answer groundedness and system performance using measurable criteria.
Required Skills
• Information architecture, data modelling, taxonomy design, ontology modelling and metadata strategy.
• Knowledge graphs, semantic modelling and semantic technologies such as RDF, OWL and SPARQL.
• RAG, Agentic RAG, GraphRAG, embeddings, vector databases and semantic search.
• Chunking strategies, retrieval optimisation, reranking and retrieval evaluation.
• Python programming, APIs, data pipelines and cloud-native engineering.
• Working knowledge of LLMs, agentic AI patterns and AI evaluation approaches.
• Strong critical thinking, structured problem-solving and stakeholder collaboration.
Experience & Qualifications
• 7+ years in data engineering, knowledge engineering, information architecture, search, cloud engineering or a related field.
• 3+ years building AI, LLM, RAG, knowledge graph or enterprise search solutions.
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems or a related discipline, or equivalent practical experience.
Preferred Skills
• Azure AI Search, Azure OpenAI, Microsoft Fabric, Microsoft Graph or Copilot ecosystem experience.
• Experience with SharePoint, Microsoft 365, Confluence, ServiceNow or similar enterprise content platforms.
• Exposure to agent frameworks, graph databases, Responsible AI and knowledge governance.
Success Measures
• Higher retrieval relevance and grounded answer quality.
• Improved knowledge discoverability, reuse and traceability.
• Scalable knowledge patterns adopted across multiple AI use cases.
AI Knowledge Engineer · NR Consulting - India