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Lead Applied AI Solutions Engineer
2 months ago
At Microsoft, we foster a culture of innovation and collaboration, where talented individuals come together to envision what is possible and advance their careers.
Our Vision: We are at the forefront of transforming analytics in the data landscape through our Azure Data engineering team, which focuses on a suite of products including databases, data integration, big data analytics, and business intelligence.
Our Product Portfolio: Our offerings encompass 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: We aim to construct the data platform tailored for the AI era, enabling a new generation of data-centric applications and fostering a data-driven culture.
Within Azure Data, our big data analytics team delivers a comprehensive range of products that empower data engineers and scientists to derive insights from diverse data types—structured, semi-structured, and unstructured. We are responsible for the Data Engineering, Data Science, and Data Integration segments of Microsoft Fabric.
Role OverviewThe Applied AI team, part of the Azure Data - Customer Advisory Team (CAT), is looking for a Lead Applied AI Solutions Engineer to spearhead our initiatives. Our goal is to empower clients by harnessing their data and utilizing cutting-edge Generative AI technologies to revolutionize their sectors. We are committed to nurturing a culture of learning and inclusivity where every team member can thrive and collaborate.
Key Responsibilities:
- Align team objectives with product aspirations, guiding our collective journey towards a unified vision.
- Develop and disseminate resources—such as repositories, templates, and demonstrations—to equip our clients with Generative AI and data capabilities.
- Lead client engagements with curiosity and depth, using each project as an opportunity to enhance our understanding and refine our offerings.
- Embrace experimentation and continuous learning, staying at the forefront of Generative AI advancements and tools.
- Foster the Generative AI developer community, promoting connections, knowledge sharing, and adoption.
- Contribute to a culture of growth by mentoring and supporting colleagues, enhancing our collective potential.
Required:
- Bachelor's Degree in Statistics, Computer Science, Engineering, or a related field with a minimum of 6 years of relevant experience.
- 5+ years of experience in data science/machine learning, particularly with Python, C#, or similar technologies.
Preferred:
- Experience with large-scale data processing using tools like Spark and SQL.
- Proven ability to communicate effectively across various levels, from clients to executives.
- Experience in developing and deploying products throughout the product lifecycle.
At Microsoft, we value diversity and inclusivity, seeking to harness the collective strength of our workforce to better serve our clients. Our mission is to empower every individual and organization on the planet to achieve more, and we strive to create an environment where everyone can succeed.
