Artificial Intelligence Architect

Azure AI Architect

Experience: 10+ Years

Location: Remote

General Summary

We are seeking an experienced and innovative Azure AI Architect to lead the design and implementation of advanced AI solutions tailored to the MedTech and medical device industry. As an Azure AI Architect, you will develop scalable and compliant AI systems that improve patient outcomes, enhance diagnostics, and support operational excellence. This role will collaborate across multidisciplinary teams to ensure AI solutions align with clinical, regulatory, and technical requirements.

Specific Duties and Responsibilities

• Design end-to-end AI/ML solutions using Microsoft Azure to support clinical decision-making, diagnostics, and patient monitoring.
• Collaborate with clinical teams, data scientists, and engineers to translate healthcare challenges into scalable AI architectures.
• Ensure AI models comply with FDA and HIPAA requirements and integrate seamlessly into medical devices and software systems.
• Deploy, monitor, and maintain AI solutions on Azure with a focus on security, scalability, and reliability.
• Support data acquisition and preprocessing strategies in alignment with medical data standards (e.g., HL7, FHIR, DICOM).
• Drive innovation by leveraging Azure Cognitive Services, Azure Machine Learning, and other Azure-native AI tools.
• Work closely with regulatory and compliance teams to ensure all AI implementations meet industry standards.
• Provide training and guidance to internal stakeholders on AI capabilities and best practices.

Position Qualifications

Minimum education and experience: 

• Bachelor's or master's degree in computer science, Data Science, or a related field.
• Prior work experience or internships in data science, data analysis, or a related area is a plus.
• Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field.
• 5+ years of experience in AI/ML architecture with at least 2 years in the healthcare or MedTech sector.
• Expertise in Microsoft Azure AI services, including Azure Machine Learning and Cognitive Services.
• Familiarity with medical data privacy and security standards (e.g., HIPAA, GDPR).
• Proficiency in Python, R, and Azure SDKs with hands-on experience in deploying production AI models.
• Understanding of AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Strong communication skills and ability to collaborate across clinical and technical domains.
• Hands-on experience with Generative AI (GenAI) tools.
• Experience with Azure AI Studio, including configuring resources, deploying models, and fine-tuning.
• Proactive approach to learning and applying new techniques and tools in real-world projects.
• Strong critical thinking, problem-solving mindset, and analytical skills