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Americas, United States, Redmond

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Posted 177 days ago

Senior Quantum AI Engineer

🏢 Microsoft

AI Summarised

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Role Type

🛠️ Engineer / Developer

Role Focus

💻 Code Systems

Seniority

🌳 Senior / Lead

Employer Type

🏢 Industry

This role is for a Senior Quantum AI Engineer who will identify and implement generative AI and machine learning solutions within the data infrastructure. The engineer will design and build scalable data pipelines and components using Azure technologies like Databricks, Synapse, and Data Lake. Strong Python skills are essential for developing efficient and reliable code to power the data ecosystem.

Key Responsibilities

Lead the architecture and implementation of scalable solutions using Python, spanning data processing, automation, and application development across diverse domains.

Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and drive innovation within projects.

Create and maintain robust client-side libraries and application modules to support seamless integration and enhanced user experiences.

Collaborate with multidisciplinary teams and adapt quickly to evolving project priorities, contributing expertise in software engineering, data, or related areas as needed.

Deploy, integrate, and manage solutions leveraging the Azure ecosystem, ensuring security, scalability, and compliance with best practices.

Required Skills

Bachelor's degree in computer science, software engineering or relevant field

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

Nice-to-have Skills

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

Experience collaborating with hardware teams and developing software solutions tailored to their needs

Technology Tags

Python

Explicitly stated as an essential skill for developing efficient, reliable code.

ML approaches

The job title includes "AI Engineer" and the description emphasizes leveraging "generative AI and machine learning".

Cloud platforms

The job involves working with "Azure services" and specific Azure data technologies like Databricks, Synapse, and Data Lake.

IT infrastructure

The role focuses on architecting and building "robust, scalable infrastructure components and data pipelines" leveraging Azure services.

Quantum ML

The job title is "Senior Quantum AI Engineer" and the role involves applying "generative AI" and "machine learning" within the quantum computing context.

Data security

Explicitly mentioned as a responsibility within "Azure Platform Integration" to ensure security.

Programming Tools

The role includes creating and maintaining "robust client-side libraries and application modules" for the quantum ecosystem.

Source Job Description

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.