AI Knowledge Engineer - Applied Intelligence

Fusion5; Christchurch; On-site; NZD 140,000 - 180,000; Full time

Job summary

Fusion5 is seeking an experienced AI Knowledge Engineer to shape the knowledge foundations behind intelligent AI agents used in real production environments. You will turn complex business knowledge into structured, trusted context for AI agents.

You’ll design ontologies, knowledge graphs and semantic models, establish source mappings and governance, and ensure production-ready agent context. Collaboration with domain experts and engineers is essential to establish standards and reusable

Qualifications

• Hands-on experience designing 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, Fabric IQ, Databricks Genie Ontology, Unity Catalog, Purview, Collibra, Alation or Atlan would be valuable.
• Understanding of how LLM agents use context, grounding and retrieval, including handling missing or conflicting information.
• Ability to translate domain knowledge into practical, implementable models and lead technical delivery.

Responsibilities

• Model how businesses operate and engineer the knowledge agents need to interpret information and support decisions.
• Design ontologies, knowledge graphs and semantic models, establish source mappings and governance, connect structured and unstructured knowledge.
• Help establish modelling standards and reusable knowledge patterns across the practice.

Skills

Ontology knowledge

Knowledge graphs

Semantic modelling

Cypher

SPARQL

GQL

Data governance

Context grounding

Mentoring

Tools

Neo4j

Microsoft Fabric IQ

Databricks Genie Ontology

Unity Catalog

Microsoft Purview

Collibra

Alation

Atlan

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.

Join Fusion5 and help build the knowledge foundations behind the next generation of intelligent agents.