Software Engineer, Principal

Overview

As Principal AI Lead, you define the AI strategy and architecture for the Infor MES platform and the Manufacturing portfolio. You translate platform AI investments into scalable, secure manufacturing solutions and collaborate across Product Management, Architecture, Engineering, and Cloud Operations.

You balance hands-on engineering with technical leadership, guiding data models, ontology strategy, API patterns, and platform integration. You shape AI, agents, and semantic contexts to deliver enterprise-grade outcomes.

This role offers the chance to influence product and technical direction while mentoring engineers and driving transformation.

Responsibilities

• Define AI architecture, standards, and technical strategy for MES and Manufacturing
• Design scalable, secure AI-enabled product features using cloud-native and SaaS principles
• Build production AI feature sets, reference implementations, and reusable platform components
• Define API strategies and integration patterns for AI with MES processes
• Lead data modelling, ontology strategy, semantic understanding, and business context for AI-driven experiences
• Provide architectural leadership across AI, Integration, IoT, Connected Worker, and platform teams
• Align AI investments with customer needs and business objectives with Product Management
• Establish engineering standards for security, governance, observability, and responsible AI
• Evaluate emerging AI technologies and architectural approaches
• Mentor engineers and act as technical authority for AI initiatives
• Contribute to long-term technical strategy and roadmap for AI Acceleration initiatives

Key requirements

• Software engineering background delivering enterprise applications or platforms
• Hands-on development experience with modern engineering practices
• Production AI solutions using Large Language Models (LLMs)
• Experience with Retrieval Augmented Generation (RAG), agentic architectures, AI orchestration frameworks
• AI capabilities integration into enterprise software products
• API design, service contracts, and software architectures
• Cloud-native application development and modern SaaS architectures
• Semantic modelling, ontologies, knowledge graphs, or domain-driven modelling
• Strong understanding of software architecture, security, scalability, reliability, and observability
• Excellent C# and .NET experience and relational databases
• Ability to influence technical direction across multiple teams and product areas
• Excellent communication and stakeholder management skills
• Excellent communication
• Stakeholder management
• Mentoring and technical leadership
• LLMs
• Retrieval Augmented Generation (RAG)
• Agentic architectures

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