Join us at the forefront of innovation in Microsoft’s Business Accelerated Solutions (BAS) team within the Business Industry Copilot organization—where data and insights shape the future of customer experiences and business growth. As a Principal AI Data Engineer, you will play a pivotal role in building the next generation of copilots and intelligent data agents that empower key business decisions by Microsoft senior leadership through data-driven insights and automation. Our mission is to revolutionize how data is engineered, analyzed, and activated—leveraging generative AI to deliver scalable, adaptive, and intuitive solutions that drive business and revenue growth. If you're passionate about transforming raw data into strategic advantage and want to help define the future of AI-powered analytics, this is your opportunity to lead that change. **Responsibilities** This role demands a blend of artificial intelligence expertise and data engineering development skills to contribute to all phases of our product lifecycle, from conception to deployment. -Architect and build intelligent agents that automate data workflows, insights generation, and stakeholder interactions. -Integrate generative AI into data engineering pipelines and analytics platforms to enable scalable and adaptive solutions. -Collaborate with cross-functional teams including product managers, data scientists, and engineering partners to deliver high-impact outcomes. -Drive technical strategy and execution for agent-based systems focused on data and insights. -Ensure performance, reliability, and security of solutions across diverse data environments. -Mentor senior engineers and foster a culture of innovation, inclusion, and technical excellence. **Qualifications** **Required Qualifications** + Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering + OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering + OR equivalent experience. + 3+ Years of experience with a proven track record of building distributed systems, data pipelines, and analytics platforms. + 1+ Years of experience with proficiency in cloud technologies (Azure preferred), microservices, and API design. + Experience in Fabric, Pyspark or other big data technologies. **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 Qualifications** + Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, + OR data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in business analytics, data science, software development, data modeling, or data engineering + OR equivalent experience. + 6+ years of experience in business analytics, data science, software development, data modeling or data engineering , with a background in data systems and AI. + 3+ years experience with data governance, data compliance and/or data security. + 1+ Experience with architectures, frameworks and technologies (such as MCP, A2A protocol, Langchain, Azure AI Foundry) + Experience with Microsoft 365 and Entra ID for identity and access management in enterprise environments + Familiarity with enterprise-scale data governance, security, and compliance. + Demonstrated success in delivering products that drive measurable business impact. + Passion for innovation in data engineering and AI-driven analytics. + Hands-on experience with generative AI frameworks, LLMs, and agent-based architectures. Data Engineering 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 1st, 2025. \#BICJOBS Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .