2 months ago
Farnborough, United KingdomStaff+
Responsibilities
- Define AI architecture, engineering standards, and technical strategy for the MES and Manufacturing portfolio.
- Design and build scalable, secure, reliable, cloud-native AI-enabled product features and reusable platform components.
- Develop API strategies, tool interfaces, service contracts, and integration patterns for AI-enabled MES business processes.
- Lead data modeling, ontology strategy, semantic understanding, and business-context approaches for AI-driven experiences.
- Provide architectural leadership across engineering teams working on AI, integration, IoT, Connected Worker, and platform capabilities.
- Establish standards for security, governance, observability, and responsible AI.
- Evaluate emerging AI technologies and frameworks, mentor engineers, and act as a technical authority across AI initiatives.
- Partner with Product Management and other stakeholders on customer value, business objectives, and long-term AI roadmaps.
Requirements
- Demonstrated software engineering experience delivering enterprise applications or platforms.
- Strong hands-on software development experience using modern engineering practices and technologies.
- Proven experience designing and delivering production AI solutions using Large Language Models.
- Experience with Retrieval Augmented Generation, agentic architectures, AI orchestration frameworks, and tool-based AI systems.
- Experience integrating AI capabilities into enterprise software products and designing APIs, service contracts, and software architectures.
- Experience with cloud-native application development and modern SaaS architectures.
- Experience with semantic modeling, ontologies, knowledge graphs, or domain-driven modeling for complex business domains.
- Strong understanding of software architecture, security, scalability, reliability, and observability.
- Excellent C# and .NET experience and strong understanding of relational databases.
- Ability to influence technical direction across multiple teams and product areas, with strong communication and stakeholder-management skills.
- Preferred experience in Manufacturing, MES, ERP, Industrial IoT, or Operational Technology environments.
- Preferred experience with multi-tenant SaaS platforms, vector databases, embeddings, semantic search, AI retrieval architectures, enterprise AI governance, mentoring senior engineers, or people leadership.
Benefits
- Opportunity to shape AI capabilities across Infor’s MES, Manufacturing portfolio, and wider AI ecosystem.
- Hands-on technical leadership role with broad influence over product and technical strategy.
- Potential line-management responsibility for the right candidate.
- Opportunity to work with an experienced engineering team focused on cloud-native SaaS transformation and manufacturing software.
Tech Stack
C#.NET
Categories
About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. Here are some key insights: • 60,000+ customers • 100+ offices • 1,700+ support experts • 2,000+ partners • 17,000+ employees • 175+ countries where customers are located • 15,000+ cloud customers • 40+ countries with Infor offices