​​Principal Applied AI Engineer​

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.​

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The Applied AI team is part of the Azure Data - Customer Advisory Team (CAT) and we're seeking a Principal Applied AI Engineer to lead some of our efforts. Our mission is to empower our customers by leveraging their data and applying the latest advances in Generative AI to transform their industries. Help us grow a culture of learning and inclusion where everyone strives, grows and collaborates. Azure data’s family of products, including Fabric, Azure databases, etc. is purpose-built for the age of AI. Our mission is to empower our customers to transform their enterprise data into knowledge, whether structured or unstructured (RAG, NL2SQL, etc.). We collaborate closely with customers, Product Managers and Engineers, anchoring ourselves in real-world use cases. Our commitment to continuous improvement drives us to explore the latest AI advancements and tools, allowing us to prototype and solve customer-centric challenges.

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We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities

• ​​Align team efforts with product goals, steering toward a shared vision. bringing clarity of purpose to our team’s collective journey.  
• Develop and share guidance - repositories, templates, demos, and more - to enable our customers with GenAI x Data. We are not just developing solutions; we are empowering others.  
• Lead customer projects with curiosity and depth. Each endeavor is a stepping stone, elevating our understanding and refining our products.  
• Continuously experiment and learn, embracing the cutting edge of Generative AI, tools, and stacks. We are trailblazers, shaping what is next.  
• Cultivate the Generative AI developer community. Our impact scales beyond code - it’s about fostering connections, knowledge sharing, and adoption.  
• Contribute to a culture of growth by supporting and mentoring teammates. We’re not just building software; we are nurturing each other’s potential. ​ 

Embody our culture and values 

Qualifications

Required/Minimum Qualifications

• ​​Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• 5+ years of experience with data science / machine learning with an emphasis on experimenting using Python, C#, etc. ​
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• ​​Experience with large data and compute using tools like spark, SQL, databases, other cloud solutioning (e.g. deployment, monitoring)
• Experience communicating at different levels (e.g. customers, executives) to clarify problem statements, solutions and product feedback​

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 30, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#azdat #azuredata #fabric #analytics #databases​