AI Knowledge Engineer - Applied Intelligence

Fusion5

Auckland

On-site

NZD 120,000 - 180,000

Full time

3 days ago
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Job summary

Fusion5 is seeking an experienced AI Knowledge Engineer to turn domain knowledge into structured, trusted context for AI agents. You will work with domain experts and engineers to model how businesses operate and to engineer knowledge agents that interpret information and support decisions.

You’ll design ontologies and semantic models, establish mappings and governance, and ensure production-ready context across our Applied Intelligence practice. Knowledge of Neo4j and related tools is valued.

Qualifications

  • Hands-on experience designing ontologies, knowledge graphs and semantic models in complex enterprises.
  • Strong understanding of entity identity, relationships, source mappings and governance.
  • Practical experience with graph/semantic query languages (Cypher, SPARQL, GQL).
  • Knowledge of data governance including cataloguing, lineage and privacy.

Responsibilities

  • Model business operations with domain experts to engineer knowledge agents.
  • Design ontologies, knowledge graphs and semantic models and establish governance.

Skills

Ontology design
Knowledge graphs
Semantic modelling
Entity relationships
Data governance
Cypher / SPARQL / GQL
Neo4j
Databricks Genie Ontology
Microsoft Purview

Tools

Neo4j
Microsoft Fabric IQ
Databricks Genie Ontology
Unity Catalog
Purview

Job description

  • Shape the Knowledge behind real-world agentic AI solutions used in complex customer environments.
  • Work at the intersection of AI, knowledge graphs, ontologies and enterprise data.
  • Take a technical leadership role, influencing standards, reusable patterns and future knowledge-engineering capability.

Help shape the knowledge foundations behind intelligent AI agents.

At Fusion5, our Applied Intelligence team helps customers move beyond AI experimentation to agents that do real work in production. We’re looking for an experienced AI Knowledge Engineer who can turn complex business knowledge into structured, trusted context that AI agents can actually use.

What you’ll do
  • You’ll work closely with domain experts, data and integration engineers, platform teams and agent engineers to model how businesses operate and engineer the knowledge agents need to interpret information and support decisions.
  • You’ll design ontologies, knowledge graphs and semantic models, establish source mappings and governance, connect structured and unstructured knowledge, and ensure agent context is accurate, traceable and production-ready. You’ll also help establish modelling standards and reusable knowledge patterns across our Applied Intelligence practice.
About you

You’re a hands‑on knowledge engineer with strong experience in ontology, knowledge graph and semantic modelling within complex enterprise environments. You understand entity relationships, source mappings, metadata, retrieval and data governance, and can confidently work with business experts to turn domain knowledge into practical models.

Experience with technologies such as Neo4j, Microsoft Fabric IQ, Databricks Genie Ontology, Unity Catalog, Microsoft Purview, Collibra, Alation or Atlan would be valuable, along with knowledge of Cypher, SPARQL, GQL, RDF, OWL or SHACL. An understanding of how LLM agents use grounding, retrieval and context is key.

Skills & Experience Required
  • Hands‑on experience designing and delivering ontologies, knowledge graphs and semantic models in complex enterprise environments.
  • Strong understanding of entity identity, relationships, source mappings, model validation and versioning.
  • Practical experience with graph or semantic query languages such as Cypher, SPARQL or GQL.
  • Experience with data governance, including cataloguing, lineage, classification, access control and privacy.
  • Knowledge of platforms such as Neo4j, Microsoft Fabric IQ, Databricks Genie Ontology, Unity Catalog, Microsoft Purview, Collibra, Alation or Atlan would be highly valuable.
  • Understanding of how LLM agents use context, grounding and retrieval, including evaluating responses when information is missing or conflicting
  • Ability to work with business experts to translate complex domain knowledge into practical, implementable models.
  • Experience leading technical delivery and mentoring others, with the ability to work effectively through ambiguity and fast delivery cycles.
What’s in it for you?

“Go Beyond” isn't a marketing line at Fusion5, it's the standard we hold ourselves to. It reflects how we bring together solutions, services, and capability to help clients realise their business vision, with AI as a strategic lever for meaningful transformation.

At Fusion5, you’ll have the autonomy to influence solution direction, the backing of an established trans‑Tasman organisation, and the opportunity to work alongside people who care deeply about outcomes, accountability, and doing the right thing for clients.

We're proud to be a diverse, inclusive, and forward-thinking employer, and we're committed to creating a workplace where our people feel engaged, challenged, supported, and successful.

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