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Enterprise Knowledge Engineer

2 weeks ago

Coimbatore, Tamil Nadu, India beBeeSemantic Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Knowledge engineers play a vital role in bringing order and meaning to complex data landscapes.

Domyn is seeking an experienced knowledge engineer to lead the design, rollout, and long-term evolution of our enterprise knowledge-graph and semantic layer. This is a hybrid role that combines architecture ownership with hands-on engineering: you will model ontologies, stand up graph infrastructure, build semantic pipelines, and expose graph services that power search, recommendations, analytics, and GenAI grounding for our customers.

Key Responsibilities:

  • Select graph stores and pipeline components; design reference architectures (RDF/OWL/SHACL/SPARQL, streaming, MDM, AI/LLM enrichment) that ensure scalability, security, lineage, and cloud portability (Azure / AWS / GCP).
  • Implement ingestion and ELT jobs (Python, Apache Jena, RDF4J, etc.); configure inference rules, load data, tune SPARQL queries, and automate regression/performance tests.
  • Build REST/GraphQL-LD wrappers and sample applications to expose semantic services; work with product teams and data scientists to embed graph capabilities into downstream apps and GenAI/RAG pipelines.
  • Translate complex graph concepts for C-suite, business SMEs, and engineering teams; run workshops, build adoption playbooks, and align roadmaps with measurable business outcomes.
  • Define and maintain a multi-year knowledge-graph roadmap that supports organisation-wide use cases (search, recommendation, analytics, GraphRAG, GenAI grounding, compliance).
Required Skills & Qualifications
  • 5 + years designing or implementing production knowledge graphs; deep hands-on experience with at least one commercial semantic platform (Metaphacts, TopQuadrant, Stardog, GraphDB, Neptune, etc.).
  • Expert knowledge of RDF/OWL, SPARQL, SHACL, linked-data patterns, and graph-query optimisation.
  • Proven track record running vendor PoCs and presenting buy-vs-build assessments that cover fit, cost, risk, and roadmap.
  • Strong cloud data-architecture skills (Azure, AWS, or GCP) and fluency in Python or Java for semantic ETL, API development, and DevOps (Docker, CI/CD).
  • Executive-level communication and stakeholder-alignment abilities; comfortable interfacing with C-suite and cross-functional teams.
  • Experience embedding knowledge graphs into LLM / RAG pipelines for grounding and retrieval.

We offer a competitive compensation structure, including salary and performance-based bonuses.

At Domyn, we're pushing the boundaries of responsible AI research and development. Our team specialises in creating proprietary, fully governable solutions based on composable AI architecture — including LLMs, AI agents, and one of the world's largest supercomputers.

Our chip-to-frontend architecture ensures isolation, security, and governance throughout the AI lifecycle. We provide customisable agents that operate on proprietary data to solve complex, domain-specific problems.

Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters.

Domyn partners with industry leaders and works with clients across regulated industries, supporting enterprises with their Responsible AI needs.