Knowledge Graph Engineer

Domyn is seeking an experienced Knowledge Graph Engineer in US 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.

Nice to have:

• Familiarity with regulated-industry data governance (e.g., GDPR, FCA) or financial-services data models.
• Exposure to GraphQL-LD, ontology-driven API generation, or automated schema evolution tooling.
• Background in streaming data ingestion (Kafka, Kinesis) and real-time semantic reasoning.
• Contributions to open-source semantic-web projects or academic publications in knowledge-graph research.

Compensation

Domyn offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience.

About Domyn

Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers.

At the core of Domyn’s product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle.

Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business’s specific language, logic, and context. Provided under an open-enterprise license, these models can be fully transferred and owned by clients.

Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security.

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

Domyn partners with Microsoft, NVIDIA, and G42. Clients include Allianz, Intesa Sanpaolo, and Fincantieri.

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