Lead / Senior Semantic Engineer – Knowledge Graph

About the role

Convo is looking for a Lead / Senior Semantic Engineer (Knowledge Graph Engineer) who combines strong software engineering fundamentals with deep understanding of enterprise data, semantic modeling and how software is built in the age of AI. This is a senior technical leadership role: you will set direction, build semantic engineering capabilities and shape how product, commercial, customer, supply chain and enterprise knowledge is modeled, connected, governed and used across the business.

Key responsibilities

• Build and manage an AI-native semantic engineering capability, defining how work flows from discovery to operations and using AI coding agents responsibly.
• Set technical vision, architecture direction and engineering standards for semantic models, knowledge platforms, graph services and data integrations.
• Design and evolve semantic models for CPG and commercial domains, including canonical business entities, vocabularies and semantic contracts.
• Design knowledge graph and semantic data architectures, choosing among RDF, OWL, SKOS, property graphs, relational models and search indexes.
• Integrate and harmonize data from SAP/ERP, PLM, PIM, MDM, syndicated market data, retailer POS and e-commerce feeds, and enable entity resolution and master data reconciliation.
• Build semantic interfaces, APIs and MCP-compatible knowledge access services, supporting analytics, search, recommendations, digital shelf, traceability and labeling compliance.
• Make enterprise knowledge accessible to AI agents through retrieval, semantic search, vector search, GraphRAG and hybrid approaches, with provenance, grounding and evaluation.
• Establish semantic governance, data quality expectations and automated validation checks, aligning with GS1, GPC, GDSN, schema.org Product and industry standards.
• Ensure production quality through monitoring, alerting, debugging, rollback and performance optimization.
• Translate business needs into delivery plans, own delivery outcomes and communicate trade-offs clearly to technical and non-technical stakeholders.
• Apply a security-first mindset: threat modeling, identity and access management, least privilege, secrets management, encryption and secure API design.

Required profile

• Strong software and data engineering fundamentals, with hands-on architectural and engineering leadership.
• Practical experience with at least one semantic modeling approach (e.g., RDF/OWL/SKOS, property graphs, canonical data models).
• Experience designing data integration, transformation, synchronization or entity resolution across enterprise systems.
• Demonstrated ability to use AI coding tools and agents in real engineering work and to increase delivery capacity through automation.
• Experience with graph databases, triple stores, relational databases, search platforms and data pipelines; Python and another programming language.
• Preferred: 8-10+ years in software, data or semantic engineering, with experience leading complex technical work.
• A degree in Computer Science, Information Science or Data Engineering is helpful but not required.

Required skills

• RDF, OWL, SKOS, SPARQL, SHACL, Protégé, TopBraid or PoolParty
• Graph databases or triple stores such as Neo4j, Amazon Neptune, GraphDB or Stardog
• Entity resolution, record linkage, MDM, PIM and data reconciliation
• GS1 standards (GTIN, GPC, GDSN, GS1 Web Vocabulary) and schema.org Product
• SAP S/4HANA, MDG, PIM/MDM platforms (Salsify, Syndigo, Stibo, Informatica)
• GraphRAG, semantic search, vector search, LLM applications and Azure services (Azure Data Factory, Databricks, Fabric, Synapse, Azure AI Search, OpenAI, DevOps, AKS)

What we offer

• Great compensation package and medical benefit for you and your family
• Free lunch, annual performance-tied increments and performance recognition awards
• A lean and agile work culture