Principal Software Engineer

** Overview*
* The Microsoft  
** Dataverse Intelligence Platform
** organization is building the next generation AI-native business data and intelligence platform for Microsoft. Our mission is to help customers turn enterprise data, business knowledge, and operational processes into actionable intelligence that powers copilots, agents, business applications, and autonomous workflows.

We build and operate the intelligent foundations that connect business data, semantic understanding, governance, analytics, process intelligence, and AI-powered execution at cloud scale. Our platform powers Microsoft Dynamics 365, Power Platform, Copilot experiences, and thousands of customer solutions worldwide. We enable organizations to securely transform business data into intelligence, intelligence into action, and action into measurable business outcomes.

As AI reshapes how software is built and how businesses operate, we are investing deeply in AI-native platforms, intelligent data systems, agent orchestration, enterprise governance, and hyperscale infrastructure that will power the next generation of business applications.

We are hiring for a  
** Principal Software Engineer
** role within our Dataverse Intelligence Platform organization. These roles span several high-impact engineering areas, including:

+ AI-native business applications and intelligent agents

+ Business data platforms and semantic intelligence

+ Process Intelligence and AI-powered automation

+ Enterprise knowledge, retrieval, and grounding systems

+ Distributed systems, cloud infrastructure, and platform engineering

+ AI-native developer experiences and platform services

In these roles, you will provide technical leadership across complex, interconnected platform systems that serve millions of users and power mission-critical business processes worldwide. You will help define platform strategy, drive architecture, modernize services, advance AI-native engineering practices, and influence technical direction across multiple product areas.

Whether your background is in distributed systems, large-scale data platforms, AI infrastructure, retrieval and grounding systems, enterprise software, business applications, cloud services, or production AI systems, you will have the opportunity to shape the future of Microsoft's AI-powered business platform.

You will partner closely with engineering, product, research, data science, security, and business teams to solve ambiguous technical challenges, build durable platform capabilities, and deliver customer impact at global scale.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

** Responsibilities*
* + Lead architecture, technical strategy, and design for large-scale business data, intelligence, AI, and cloud platform systems. Define and drive technical direction across foundational platform capabilities, intelligent services, and cross-organization initiatives.

+ Design and evolve cloud-native distributed systems that power enterprise-grade business applications, data platforms, copilots, agents, and AI-driven experiences with a focus on scalability, reliability, performance, security, governance, compliance, and operational excellence.

+ Lead the development of AI-native platform capabilities, including enterprise retrieval and grounding systems, semantic intelligence, process intelligence, agent orchestration, intelligent automation, and LLM-powered experiences.

+ Drive the evolution of Dataverse as the business data and intelligence platform for the AI era, enabling customers to transform enterprise data, processes, and knowledge into actionable intelligence and business outcomes.

+ Champion AI-native engineering practices across the organization by leveraging AI throughout the software development lifecycle, accelerating innovation, improving developer productivity, and raising engineering quality.

+ Define platform architecture and modernization strategies that improve platform consistency, extensibility, resiliency, developer experience, and long-term maintainability across Microsoft's business application ecosystem.

+ Partner with engineering leaders, product managers, architects, researchers, data scientists, and business stakeholders to shape roadmaps, influence investments, and deliver platform capabilities that unlock customer and business value.

+ Evaluate architectural tradeoffs across data platforms, intelligence layers, AI systems, and distributed services while balancing customer needs, platform scalability, governance, cost efficiency, and long-term technical sustainability.

+ Establish reusable platform patterns, frameworks, APIs, data models, and intelligence services that enable teams across…