Microsoft's Business Accelerated Solutions (BAS) team within the Business Industry Copilot organization is looking to build the next generation of copilots and intelligent data agents to empower key business decisions through data-driven insights and automation, revolutionizing how data is engineered, analyzed, and activated using generative AI.
Requirements
- 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.
- Hands-on experience with generative AI frameworks, LLMs, and agent-based architectures.
- 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.
Responsibilities
- 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.
- 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.
- Contribute to all phases of our product lifecycle, from conception to deployment.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Collaborate with cross-functional teams including product managers, data scientists, and engineering partners to deliver high-impact outcomes.
- Demonstrated success in delivering products that drive measurable business impact.
- Passion for innovation in data engineering and AI-driven analytics.
