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The Advanced Remanufacturing and Technology Centre (ARTC) is seeking a Lead Research Engineer to lead the design and delivery of innovative software solutions for smart manufacturing. This role is ideal for an experienced engineer & solution architect with strong leadership skills who can combine deep software expertise with AI-driven approaches to transform planning, scheduling, and inventory management. The role will not only architect enterprise-grade solutions but also drive the R&D technology roadmap, mentor development teams, and ensure seamless integration of AI/ML and GenAI capabilities into next-generation manufacturing platforms.
Key Responsibilities
* Lead and mentor development teams for enterprise applications for production scheduling, operations planning, as well as sourcing & inventory analytics.
* Define and implement enterprise solution architectures using .NET C#, Angular, and microservice-based platforms.
* Setting technical direction and ensuring engineering excellence.
* Drive the integration of AI/ML, GenAI, and optimisation techniques to enhance planning, scheduling, and inventory management.
* Develop and maintain the R&D technology roadmap for smart manufacturing applications.
* Establish standards for data management, interoperability, and real-time analytics in manufacturing ecosystems.
* Collaborate with all stakeholders to align solutions with business and operational requirements.
* Evaluate emerging technologies and guide adoption to maintain a future-ready manufacturing stack.
* Lead architecture reviews, design discussions, and provide hands-on technical guidance.
* Contribute to the creation of AI-powered applications that optimise resource allocation, supply chains, and production efficiency.
Requirements
* Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
* 7+ years of experience in software development and solution architecture.
* Proven expertise in .NET C# (backend) and Angular (frontend).
* Strong track record in leading teams and driving technology roadmaps.
* Hands-on experience with Docker, Kubernetes, and cloud-native platforms (AWS/Azure).
* Deep understanding of AI/ML frameworks, GenAI tools, and optimisation algorithms in planning and scheduling contexts.
* Familiarity with industrial IoT and edge computing in manufacturing environments.
* Deep knowledge of DevOps/DevSecOps practices, CI/CD pipelines, and secure architectures.
* Excellent verbal and written communication skills.
* Excellent leadership skills.
* Strategic thinker with the ability to balance innovation, feasibility, and business impact.
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