OverviewWe 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.
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 Microsoft to build AI-powered solutions faster and with higher quality.
- Champion engineering excellence through secure development practices, automation, CI/CD, observability, testing, telemetry, incident management, and operational rigor for mission-critical cloud services.
- Mentor and develop engineers through technical leadership, architecture reviews, design coaching, AI-native engineering best practices, and leadership by example.
- Foster a culture of customer obsession, innovation, accountability, continuous learning, and inclusive collaboration while helping teams navigate ambiguity and deliver impact at scale.
QualificationsRequired Qualifications:- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- 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 Qualifications:- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience designing, building, and operating large-scale distributed systems, cloud platforms, data platforms, AI services, or enterprise software systems.
- Experience building foundational platform capabilities that serve multiple products, services, customers, or engineering organizations at scale.
- Deep expertise in software architecture, distributed systems, data architecture, reliability engineering, scalability, performance optimization, and operational excellence.
- Solid programming experience in C#, Java, Python, JavaScript, C++, or similar modern development languages.
- Experience with Azure, cloud-native architectures, containerized workloads, platform services, and hyperscale cloud infrastructure.
- Experience building or operating business data platforms, knowledge systems, enterprise data services, semantic models, metadata platforms, retrieval systems, search technologies, or intelligence platforms.
- Experience developing AI-powered applications, LLM-enabled experiences, retrieval and grounding systems, agent frameworks, intelligent automation solutions, production AI services, or AI-native developer experiences.
- Experience applying AI throughout the software development lifecycle, including AI-assisted engineering, code generation, testing, quality validation, deployment automation, and operational intelligence.
- Experience with modern engineering practices including CI/CD, infrastructure as code, automated testing, observability, telemetry, incident management, and DevOps.
- Understanding of security, privacy, governance, compliance, reliability, accessibility, and Responsible AI principles required for enterprise-scale AI systems.
- Ability to create clarity in ambiguous environments, influence technical direction without formal authority, and align stakeholders around long-term platform investments and architectural decisions.
- Solid communication skills with the ability to translate complex technical concepts into clear engineering, product, customer, and business outcomes.
- Demonstrated experience mentoring senior engineers, driving cross-organization technical leadership, and raising the engineering bar across large engineering teams.
#AgenticDataplatform #AINative #Dataverse #AIBusinessApplication
Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
