27 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the architecture, design, and implementation of the enterprise Knowledge Graph and ontology framework.
- Design and maintain scalable graph schemas covering entities, relationships, metadata, and business attributes across enterprise domains.
- Own the development and evolution of the ContextLoader and OntologyRegistry services.
- Provide technical leadership and mentorship to Knowledge Graph, Ontology Modeling, and Search and Retrieval engineers.
- Define ontology standards, schema evolution processes, and governance practices.
- Design and implement bitemporal versioning for historical tracking, auditing, and future-state management.
- Collaborate with Platform Data Engineering on data ingestion, transformation, and synchronization pipelines.
- Translate complex enterprise knowledge into structured semantic models with business stakeholders and domain experts.
- Drive architectural reviews, design discussions, and continuous improvements for graph-based data platforms.
- Ensure the enterprise knowledge platform is performant, scalable, reliable, and maintainable.
Requirements
- A minimum of 15 years of experience is stated, with professional requirements describing 12–15 years of software engineering experience.
- 15 years of full-time education is required.
- Significant experience designing enterprise-scale Knowledge Graphs, semantic data models, or ontology-driven platforms.
- Strong expertise in graph data modeling, ontology design principles, and semantic technologies.
- Hands-on experience with graph databases such as Neo4j, Amazon Neptune, TigerGraph, or similar platforms.
- Knowledge of semantic web standards including RDF, OWL, and SPARQL, or equivalent graph technologies.
- Experience designing enterprise ontologies and modeling complex organizational data with business domain experts.
- Understanding of vector search, semantic search, retrieval-augmented generation, and AI-powered information retrieval.
- Experience designing scalable data architectures and integrating structured, semi-structured, and unstructured data sources.
- Strong knowledge of distributed systems, API design, and cloud-native application development.
- Experience providing technical leadership, mentoring engineers, and managing stakeholder collaboration.
- Experience with AI/ML platforms, LLMs, RAG, enterprise AI solutions, semantic platforms, metadata management, or large-scale graph applications is preferred.
- Exposure to Azure, AWS, or Google Cloud is preferred.
Benefits
- Bangalore location with flexible work arrangement.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.