Data and Ontology Engineer

About the role

Client is building Energy Intelligence for Services: an AI-driven service that turns existing condition-based maintenance (CBM) analytics into normalized health scores, contextual diagnostics and prioritized action plans for the critical power equipment of data centers, starting with UPS and busway.

The service is developed and validated on historical, already-diagnosed customer data rather than on live connections.

Tasks

• Harvest and organise the customer's historical asset, alarm and maintenance data so it can be used for ontology creation.
• Run entity resolution: reconcile the same asset appearing in several systems under several names, and define the identifier strategy (IRIs, named graphs, per-customer and per-site partitioning).
• Build the initial ontology for this dataset on top of the existing client ontology: asset types, power-chain relationships (upstream / downstream, same room, same system) and the links to health-score data.
• Validate the data against the model with SHACL and produce data-quality reports the team can act on.
• Run modelling sessions with service, reliability and CBM experts; turn their knowledge into the model and a shared glossary.
• Treat the ontology and mappings as code: versioned, tested (competency questions as SPARQL tests, SHACL conformance) and run in CI.
• Maintain the competency questions and expected answers used to test the agents on historical incidents.
• Clearly communicate component status and issues in MS-Office applications e.g. PowerPoint, Excel, Word, Outlook
• Review CAD and 2D drawings for

Schedule

• Duration: 8+ Months
• C2C or W2 Only

Location

• Boston, MA (Onsite)