Director of Engineering, Architecture

Role Description

Define and execute the enterprise architecture strategy for the Imaging Fabric platform.
Determine scalable, secure, and high-performance imaging solutions across on-premises, edge, and cloud environments.
Drive platform modernization through cloud-native architectures, distributed systems, and performance optimization.
Partner with Product Management and Engineering leaders to translate business strategy into scalable technical solutions.
Enable the adoption of AI-powered imaging capabilities including visualization, intelligent streaming, workflow optimization, and image analysis.
Establish architecture standards, technical governance, and engineering best practices.
Mentor senior architects and provide technical leadership across global engineering teams.
Drive cross-functional collaboration to deliver reliable, enterprise-grade healthcare platforms.

Must-Have Qualifications

• 10+ years of experience designing and leading enterprise-scale software architectures.
• Proven experience building high-performance, distributed systems in healthcare, medical imaging, or similarly complex technology environments.
• Deep understanding of medical imaging platforms, including DICOM, PACS, and clinical imaging workflows.
• Experience architecting scalable solutions across on-premises, edge, and public cloud environments (AWS, Azure, or Google Cloud).
• Strong knowledge of distributed systems, microservices, Kubernetes, containerized applications, and cloud-native architectures.
• Experience integrating AI capabilities into enterprise software platforms, including AI inference, image analysis, or intelligent workflow optimization.
• Strong programming background in C++, Python, Java, or Go.
• Demonstrated success leading senior technical teams, influencing architecture across organizations, and driving enterprise technology strategy.
• Bachelor's degree in Computer Science, Engineering, Medical Imaging, or a related technical discipline, or equivalent practical experience.

Preferred Qualifications

• Master's degree or PhD in Computer Science, Medical Imaging, Computational Imaging, Computer Graphics, or a related field.
• Experience with advanced medical imaging technologies including rendering, visualization, image streaming, and large-scale imaging datasets.
• Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance computing.
• Experience with AI-enabled imaging capabilities such as image segmentation, image enhancement, intelligent streaming, or predictive data loading.
• Familiarity with modern visualization techniques, scientific imaging, and enterprise healthcare platforms.
• Experience mentoring senior architects and leading technical transformation across globally distributed engineering organizations.