Knowledge Extraction & Ingestion

- Design and implement automated extraction pipelines for technical tailings storage facility (TSF) documents (PDFs, scanned reports, tables, figures).
- Develop validation and normalization logic to ensure extracted knowledge meets quality and consistency requirements.

Knowledge Schema & Ontology Design

- Design and evolve domain ontologies and knowledge schemas to support structured storage of TSF, risk, asset, and operational data.
- Implement schemas using RDF/OWL, including classes, properties, constraints, and semantic relationships.
- Align schemas with industry standards and internal MAV data models.

Knowledge Graph Development

- Build and manage RDF-based knowledge graphs in graph repositories (e.g., GraphDB, RDFox, Neptune, or equivalent).
- Implement ingestion workflows that map extracted content into graph structures with traceability to source documents.
- Support versioning, provenance, and evidence linking within the knowledge graph.

Retrieval & GraphRAG Pipelines

- Design and implement graph-native retrieval pipelines, combining SPARQL queries, reasoning, and embeddings where appropriate.
- Develop GraphRAG architectures that leverage structured graph context rather than flat text retrieval.
- Enable natural-language querying over the knowledge graph for downstream AI assistants and analytics tools.

Collaboration & Integration

- Work closely with development team, domain experts, and AI engineers to refine extraction logic and schema requirements.
- Support integration with cloud AI services (e.g., Azure AI, OpenAI models, document processing services).
- Proven experience as a Knowledge Engineer, Ontology Engineer, or Knowledge Graph Engineer.
- Strong understanding of RDF, OWL, SPARQL, and semantic data modeling.




- Hands-on experience with RDF-based graph repositories (GraphDB, RDFox, Apache Jena, Neptune, etc.).
- Experience designing automated knowledge extraction pipelines using LLMs.
- Familiarity with vision-based document processing (OCR, layout analysis, multimodal extraction).
- Experience designing retrieval pipelines from structured knowledge graphs.
- Familiarity with Azure-based AI and data platforms.
- Experience with GraphRAG or hybrid graph + LLM architectures.

BGV:WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.

With approximately 4,000 talented people across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than 73,000 globally , in 550 offices across 40 countries , we engineer projects that will help societies grow for lifetimes to come.





At “WSP” we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones :Our People, Our Clients, Our Operational Excellence and Our Expertise.

We are

- Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
- A collaborative team that thrives on challenges and unconventional thinking.
- A network of experts channeling our curiosity into creating solutions for complex issues.

**_Inspired by diversity, driven by inclusion, we work with passion and purpose.

- **

Working with Us

At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of prospect and the chance to shape a career as unique as you.

Our Hybrid Working Module

With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.

- Maximize collaboration.
- Maintain product quality and cultural integrity.Balance community, collaboration, opportunity, productivity, and efficiency.

**Health,

📌 Engineer - Ai (Bengaluru)
🏢 Wsp
📍 Bengaluru