← All roles

Principal Data Engineer

Microsoft· Data Engineering
Apply on company site
Hybrid (United States)$142.8k - $274.8kFull-timePosted 2mo ago

About the role

MCAPS-Core DAAI seeks a Principal Data Engineer to build AI-powered platforms, intelligent agents, and data foundations powering Microsoft's transformation. Combines software, data engineering, and AI to deliver scalable solutions with generative AI, LLMs, agentic workflows, and enterprise data platforms. Hands-on technical leadership driving complex engineering challenges and measurable business impact.

Responsibilities

  • Lead end-to-end development of cloud-native applications, APIs, and platform services, applying full-stack engineering principles across frontend, backend, integration, security, observability, testing, and continuous delivery disciplines.
  • Architect and deliver next-generation AI platforms, copilots, agentic systems, and intelligent applications powered by Generative AI, Large Language Models (LLMs), and advanced reasoning capabilities.
  • Design and build AI-ready data platforms and knowledge systems, scalable AI services, APIs, and orchestration frameworks that power autonomous agents, intelligent automation, and enterprise-scale workflows.
  • Drive the technical strategy and architecture for Applied AI solutions, partnering across engineering, data science, product, and business teams to accelerate AI innovation and adoption.
  • Create reusable AI frameworks, SDKs, and platform services that improve developer productivity, model performance, scalability, governance, and reliability.
  • Establish best practices for Responsible AI, AI governance, model evaluation, security, compliance, observability, and operational excellence.
  • Provide hands-on technical leadership through architecture reviews, code reviews, mentoring, and direct contribution to software, data, and AI solutions.
  • Partner with business and technology leaders to identify and deliver transformational AI opportunities that enhance productivity, decision-making, and customer experiences.
  • Champion customer-zero innovation by turning emerging AI technologies into scalable platforms, reusable services, and enterprise-wide solutions.

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.

Skills

Required:Cloud-native developmentGenerative AI / LLMsAI governance and Responsible AIPython and other languagesData platforms / Data engineering
Nice to have:Multi-agent systems / autonomous workflows
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Microsoft

Cloud ComputingConsumer ElectronicsSoftwareTechnologyliquid-ai-recruiting-target
Company profileWebsite

More open roles at Microsoft