| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $142,800–$274,800 / yr
Posted: 68 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $209k

$101k most similar roles pay here $293k

This role pays more than 96% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $209k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Principal Software Engineer on the Azure Artificial Intelligence Core team at Microsoft, you will design and build scalable AI systems that power large-scale workloads, focusing on real-time audio interaction, image generation, video safety, and other multimodal verticals. Your day-to-day responsibilities include architecting robust distributed systems, debugging and optimizing across the entire stack from infrastructure to APIs, collaborating with internal teams and external partners like OpenAI, and driving technical excellence through innovative solutions. You will need deep expertise in distributed systems, AI architectures, and experience with tools such as Kubernetes, Azure DevOps, Docker, gRPC, FastAPI, and Semantic Kernel. This role involves working on cutting-edge capabilities for the Azure OpenAI effort, ensuring secure, scalable, and high-performance AI experiences that drive innovation at scale.

Skills

Azure Kubernetes Docker gRPC FastAPI Azure DevOps Python OpenAI API Azure OpenAI CI/CD PostgreSQL Redis GraphQL WebSockets SIP WebRTC Prometheus Grafana

What you'll do

Design and build scalable AI systems that meet high-performance requirements for large workloads.
Debug and optimize existing components to resolve issues quickly and maintain system integrity.
Innovate by identifying new technical approaches to unlock possibilities in AI solutions.
Own full-stack development, from infrastructure to APIs, to deliver end-to-end solutions.
Collaborate with internal teams and external partners to solve complex problems and align on decisions.

What we're looking for

5+ years of hands-on experience with designing, building, and maintaining distributed systems.
Deep expertise in AI/ML fundamentals and practical applications for architecting solutions.
Proficiency with tools and frameworks like Kubernetes, Azure DevOps, Docker.
Experience in technical leadership roles, including mentoring engineers.
Familiarity with gRPC, FastAPI, Autogen, Semantic Kernel, or LangChain.
Hands-on experience with OpenAI API and Azure OpenAI.

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