Senior Quantum AI Engineer

Overview: Microsoft Quantum has assembled a talented and diverse international team to create the world’s first scalable quantum computing system. We work alongside internal research teams in the development of future quantum processing hardware. We are working on new Azure services and software to help us invite even more people into our industry-leading quantum ecosystem. As a Senior Quantum AI Engineer on our data team, you will proactively seek out impactful opportunities to leverage generative AI and machine learning within our data infrastructure. Your role goes beyond implementation—you will independently identify areas where advanced AI solutions can drive innovation and value. By harnessing technologies such as Azure Databricks, Azure Synapse, and Azure Data Lake, you will architect and build robust, scalable infrastructure components and data pipelines. Your fluency in Python will be essential for developing efficient, reliable code that powers our data ecosystem.

Qualifications: Required qualifications Bachelor's degree in computer science, software engineering or relevant field required. Deep hands-on experience with python for data processing, automation, and/or software development. Hands-on experience with generative AI technologies (such as large language models, generative models, or related frameworks). Track record of spotting high-impact opportunities and driving them independently to completion. Preferred qualifications Comfortable working in collaborative, cross-functional teams and adapting to evolving business needs. Demonstrated experience in proactively identifying machine learning opportunities and driving impactful outcomes is highly desirable. Experience collaborating with hardware teams and developing software solutions tailored to their needs is a plus. #Quantum #QuantumCareers #MDQCareers

Responsibilities: Design and Development of Solutions: Lead the architecture and implementation of scalable solutions using Python, spanning data processing, automation, and application development across diverse domains. Generative AI and Advanced Technologies: Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and drive innovation within projects. Client Libraries and Application Components: Create and maintain robust client-side libraries and application modules to support seamless integration and enhanced user experiences. Cross-Functional Collaboration and Adaptability: Collaborate with multidisciplinary teams and adapt quickly to evolving project priorities, contributing expertise in software engineering, data, or related areas as needed. Azure Platform Integration: Deploy, integrate, and manage solutions leveraging the Azure ecosystem, ensuring security, scalability, and compliance with best practices. Design and Development of Solutions: Lead the architecture and implementation of scalable solutions using Python, spanning data processing, automation, and application development across diverse domains. Generative AI and Advanced Technologies: Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and drive innovation within projects. Client Libraries and Application Components: Create and maintain robust client-side libraries and application modules to support seamless integration and enhanced user experiences. Cross-Functional Collaboration and Adaptability: Collaborate with multidisciplinary teams and adapt quickly to evolving project priorities, contributing expertise in software engineering, data, or related areas as needed. Azure Platform Integration: Deploy, integrate, and manage solutions leveraging the Azure ecosystem, ensuring security, scalability, and compliance with best practices.

Benefits: Industry leading healthcare