Knowledge Graph Engineer for Agentic AI Interfaces

IFS; Staines-upon-Thames; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

IFS is building the next generation of AI-native enterprise software, applying LLMs and agentic AI to assets, operations and critical services. This Knowledge Engineer role focuses on ontology, knowledge graph and grounding infrastructure to enable AI agents to reason over customer data.

You will design MCP servers, build semantic layers, and establish robust data quality, provenance and versioning while collaborating with domain experts and other engineers to deliver scalable, trustworthy AI

Qualifications

• Hands-on experience designing, building, and shipping production AI applications.
• Strong background in knowledge graphs, ontology, and semantic modelling.
• Experience with MCP, embeddings, vector databases and grounding.
• Proven ability to work across enterprise platform domains and cloud-native stacks.

Responsibilities

• Design and build MCP servers over the product's business objects, treating capability modelling, discoverability, versioning and backward compatibility as first-class design problems.
• Build the WRITE path that lets an agent safely change a customer's operational data.
• Design and build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry by industry.
• Build the retrieval and grounding infrastructure that connects agents to this knowledge: embeddings, vector databases, hybrid search, chunking and indexing strategies.
• Establish data quality, provenance and versioning practices for the knowledge graph, so changes are traceable and agent behaviour stays on track.
• Build the control plane: authentication, entitlements, agent identity, telemetry, metering, security and safe defaults.

Job description

IFS is building the next generation of AI-native enterprise software, applying LLMs and agentic AI to assets, operations and critical services. This Knowledge Engineer role focuses on ontology, knowledge graph and grounding infrastructure to enable AI agents to reason over customer data.

You will design MCP servers, build semantic layers, and establish robust data quality, provenance and versioning while collaborating with domain experts and other engineers to deliver scalable, trustworthy AI