| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$139,900–$274,800 / yr
Posted
48 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Principal Applied AI Engineer on the Customer Experience Applications (CX Apps) team at Microsoft, you will lead the architecture, design, and implementation of AI-first experiences within Dynamics 365 Sales and Service, an AI-native solution for customer service operations. Your day-to-day responsibilities include driving technical alignment with Microsoft’s cloud-scale services, designing production-ready AI solutions using large language models and natural language understanding, and collaborating closely with product managers and UX teams to deliver measurable business value. You will also mentor engineers, establish high standards for code quality and secure deployment practices, and champion the adoption of emerging AI frameworks and tools. This role requires deep expertise in languages like C#, Python, or Java, extensive experience delivering AI/ML systems at scale, and a solid understanding of cloud platforms such as Azure and Kubernetes.

What you'll do

  • Own architecture and execution of AI-powered features across Dynamics 365 Sales and Service.
  • Design and deliver production-ready AI solutions leveraging large language models and natural language understanding.
  • Lead complex technical initiatives ensuring platform scalability, reliability, and long-term maintainability.
  • Mentor engineers and foster a culture of innovation and continuous learning within the team.
  • Proactively identify technology gaps and champion adoption of emerging AI frameworks and tools.
  • Drive engineering rigor by establishing high standards for code quality and secure deployment practices.

What we're looking for

  • 8+ years of hands-on software engineering experience with expertise in languages like C#, Python, Java.
  • 2+ years delivering AI/ML-based systems at production scale, including LLMs and transformers.
  • Proven track record designing and deploying AI-first applications in enterprise SaaS environments.
  • Expertise in MLOps practices for model versioning, retraining pipelines, monitoring, and rollout strategies.
  • Deep knowledge of cloud platforms (preferably Azure) and experience with Kubernetes or Docker.
  • Solid architectural thinking and ability to make trade-offs between performance, cost, simplicity, and maintainability.
  • Exceptional communication skills to influence across roles and levels in a technical organization.

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