Principal AI Platform Engineer, AI Experiences, Copilot Engineering

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Mountain View, CA
Salary
$142,800–$274,800 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Feb 13, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 54% of similar roles. Most pay $169,550–$246,150 — the shaded band above. At the midpoint, this role pays about $209k versus about $208k for comparable roles.

Based on 240 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 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 586 roles with salary data.

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At a glance

TL;DR · Principal AI Platform Engineer, AI Experiences, Copilot Engineering

Principal AI Platform Engineer - AI Experiences, Copilot Engineering joins the Microsoft AI Experiences, Copilot Engineering team to advance next-generation capabilities for personal AI. This role involves building and operating critical AI platform services including model serving, orchestration, retrieval, and APIs that product teams utilize. The engineer will develop new features, ensure secure and performant infrastructure, and manage systems through production cycles including on-call rotations. Required skills include proficiency in C, C++, C#, Java, JavaScript, or Python, alongside experience with machine learning frameworks, large language models, and retrieval-augmented generation. Candidates should possess expertise in building scalable services on public cloud platforms like Azure, AWS, or GCP using relational databases and key-value stores. The role focuses on solving technical challenges related to scaling AI systems and creating high-quality, maintainable code for consumer-facing Copilot experiences.

What you'll do

  • Build new AI features to enhance Copilot capabilities.
  • Develop secure and performant AI platform services including model serving and orchestration.
  • Create high-quality, well-tested, and maintainable code for production environments.
  • Manage the full lifecycle of systems in production, including participating in on-call rotations.
  • Build scalable APIs and data pipelines for large-scale products.
  • Deploy and scale large language models (LLMs) using machine learning frameworks.
  • Develop infrastructure for retrieval-augmented generation, agent frameworks, and tool-calling systems.
  • Design and build evaluation and experimentation infrastructure for AI systems.

What we're looking for

  • Bachelor's Degree in Computer Science or related technical field and 6+ years of engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
  • Equivalent experience to the degree and years requirement is acceptable.
  • Experience leveraging generative AI technologies to develop innovative and user-focused product features (preferred).
  • 6+ years of experience building APIs and creating pipelines for large-scale products (preferred).
  • 6+ years of experience building scalable services on public cloud infrastructure with extensive use of relational databases and key-value stores (preferred).
  • Experience using Machine Learning frameworks, including deploying and scaling large language models (preferred).
  • Experience with retrieval-augmented generation, agent frameworks, tool-calling systems at scale, and building evaluation/experimentation infrastructure for AI systems (preferred).
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders (preferred).

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