Digital Twin Architect/Specialist

Summary

Join our team as a skilled Digital Twin Architect and contribute to Industry 4.0 innovation. You will design and implement digital twin solutions using Azure Digital Twin and XMPro, leveraging generative AI. Responsibilities include developing digital twin models, integrating with industrial systems, utilizing generative AI for predictive maintenance, and collaborating with cross-functional teams. You will lead projects from conception to deployment and stay updated on the latest advancements in the field. This role requires a Bachelor's or Master's degree, 10+ years of experience in digital twin technologies, and strong skills in programming and communication. The ideal candidate will also possess experience in manufacturing or industrial domains and leadership experience.

Requirements

• Hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Possess 10+ years of proven experience in digital twin technologies and frameworks, particularly Azure Digital Twin, XMPro
• Demonstrate a strong background in Industry 4.0 technologies and principles
• Have experience with generative AI and its applications in industrial settings
• Show proficiency in programming languages such as Python, C#, or Java
• Possess excellent analytical and problem-solving skills, with the ability to handle complex integration and design challenges
• Demonstrate strong communication and interpersonal skills, capable of working collaboratively in a dynamic team environment
• Have experience with cloud architectures, IoT, and data analytics platforms

Responsibilities

• Design and develop digital twin models and architectures that integrate with existing industrial systems, focusing on enhancing operational efficiency and predictive capabilities
• Implement solutions using Azure Digital Twin and XMPro to create, visualize, and manage digital replicas of physical assets and processes
• Utilize generative AI techniques to improve model accuracy and functionality, enabling predictive maintenance, anomaly detection, and optimization strategies
• Collaborate with cross-functional teams including IT, operations, and engineering to ensure seamless integration and alignment with business goals
• Lead projects from conception through deployment, including requirement gathering, system design, development, testing, and support
• Stay updated with the latest advancements in digital twin technology, Industry 4.0 trends, and generative AI applications, incorporating these into strategic planning and development
• Provide technical leadership and mentoring to team members, fostering an environment of continuous learning and innovation
• Document and present system architectures, design decisions, and outcomes to stakeholders at all levels, ensuring clarity and alignment

Preferred Qualifications

• Hold certifications in Azure, digital twin technology, or relevant fields
• Have previous experience in a manufacturing or industrial domain
• Possess leadership experience or demonstrated ability in leading technical teams