We are seeking a Senior Software Engineer with expertise in Knowledge Graphs, Semantic Modelling, and Industrial IoT to help establish the connected operational model that underpins next-generation AI capabilities within the Infor MES platform and wider Manufacturing portfolio.
This is a hands-on engineering role focused on connecting manufacturing data, equipment information, production events, and enterprise business context into models that can be effectively understood and leveraged by intelligent systems. You will design and build the relationships, context, and data structures that enable AI solutions to reason across manufacturing operations rather than simply process isolated information.
Working closely with the Principal AI Lead, Product Management, Architecture, and Engineering teams, you will play a key role in enabling AI-driven diagnostics, automation, decision support, and operational intelligence across the Manufacturing portfolio.
As manufacturing software continues to evolve towards AI-driven experiences, this role will help establish one of the most important foundations for future innovation: a connected understanding of manufacturing operations.
- Designing and implementing knowledge graph solutions for manufacturing operations.
- Developing semantic models that represent manufacturing assets, equipment, materials, orders, processes, people, and operational events.
- Integrating MES, IoT, machine, and enterprise data sources into connected operational models.
- Building services and APIs that expose contextual manufacturing information for AI-enabled applications and workflows.
- Working closely with the Principal AI Lead to define ontology strategies, semantic standards, and modelling approaches.
- Designing scalable architectures for ingesting, processing, and modelling industrial IoT and telemetry data.
- Supporting AI reasoning, diagnostics, automation, and decision-support scenarios through rich operational context.
- Developing solutions that support real-time and near real-time operational intelligence initiatives.
- Evaluating emerging technologies in knowledge graphs, semantic modelling, industrial AI, and operational intelligence.
- Contributing to architecture discussions, technical standards, and long-term platform strategy.
- Demonstrated background of software engineering experience delivering enterprise applications or platforms.
- Strong hands-on software development experience using C# and .NET.
- Experience designing and implementing enterprise data models and integration solutions.
- Experience working with graph databases, knowledge graph technologies, or semantic modelling platforms.
- Experience developing APIs and services that expose complex business and operational data.
- Experience integrating multiple enterprise and operational systems into unified data models.
- Strong understanding of relational databases, data modelling, and information architecture principles.
- Experience working with cloud-native development and modern SaaS architectures.
- Understanding of ontology design, semantic modelling, knowledge representation, or domain-driven design concepts.
- Strong understanding of software architecture, scalability, reliability, and observability principles.
- Demonstrated ability to solve complex technical problems and work independently.
- Excellent communication and stakeholder management skills.
- Experience with Industrial IoT platforms, telemetry systems, or machine connectivity solutions.
- Experience within Manufacturing, MES, ERP, Industrial Automation, or Operational Technology environments.
- Experience building semantic models for AI applications.
- Experience with vector databases, embeddings, knowledge retrieval, or AI reasoning solutions.
- Experience processing event streams, operational data, or real-time telemetry.
- Experience working with OPC UA, MQTT, industrial integration technologies, or manufacturing data standards.
- Experience contributing to technical architecture and engineering standards.
- Experience mentoring engineers or leading technical initiatives.
Infor MES is undergoing a significant transformation as we evolve towards a cloud-native SaaS platform and embed AI-driven capabilities throughout the product experience.
You will join a highly experienced engineering team with deep manufacturing knowledge, a strong culture of ownership, and a passion for building great software. We move quickly, value innovation, and give engineers the opportunity to turn ideas into production reality.
For the right individual, this role provides an opportunity to build one of the foundational technologies supporting the future of AI within manufacturing. Your work will directly influence how intelligent systems understand production processes, equipment, materials, and operational events across the Infor Manufacturing portfolio.