Knowledge Engineer (Bengaluru)

Knowledge Engineer (Bengaluru)

02 Oct
|
Accenture in India
|
Bengaluru

02 Oct

Accenture in India

Bengaluru

Project Role : Knowledge Engineer

Project Role Description : Design and structure knowledge frameworks that enable AI systems to reason and make informed decisions. Capture and translate expert and unstructured knowledge into ontologies, knowledge graphs, and semantic models, ensuring accuracy and context for automation and insights. Apply advanced analytics on knowledge graphs to drive problem-solving and actionable insights.

Must have skills : Databricks Unified Data Analytics Platform

Valuable to have skills : Graph Databases, Neo4j, Data Engineering

Minimum 15 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

Technical Architect role in Knowledge Engineering focused on leading enterprise-scale knowledge graph, semantic layer, ontology, and AI knowledge architecture solutions using Databricks lakehouse and AI capabilities. The role owns the complete knowledge engineering scope for strategic and complex programs, sets architecture standards, guides teams, shapes client solutions,



and translates real-world business problems into scalable AI and knowledge graph solutions. The role must bring industry experience across domains such as BFSI, healthcare, retail, telecom, manufacturing, energy, public sector, or life sciences, applying semantic AI, knowledge graphs, LLM grounding, governed data products, and Databricks-based data/AI architecture patterns to create reusable assets and measurable business value.

Key Responsibilities

Define Databricks reference architectures for knowledge graph, semantic layer, and AI knowledge applications using Databricks Workspaces, Delta Lake, Unity Catalog, MLflow, Databricks SQL, Feature Engineering, Vector Search, Workflows, Model Serving, and cloud storage integrations.

Architect lakehouse-centric data pipelines, graph ingestion, ontology management, feature and vector integrations, LLM grounding patterns, and governed knowledge access

📌 Knowledge Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru

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