| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 99 days ago
Closes: Sep 9, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 67% of similar roles. Most pay $155,925–$202,120 — the shaded band above. At the midpoint, this role pays about $177k versus about $179k 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 1633 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1454 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Software Engineer on the FIT training team within Microsoft’s CoreAI organization, you will play a pivotal role in advancing the development of agentic AI systems by building scalable infrastructure for large language models (LLMs), semantic language models (SLMs), and multimodal models. Your day-to-day responsibilities include collaborating with engineers and researchers to optimize training tools, designing highly reliable services, and implementing security measures while ensuring efficient deployment and monitoring in production environments. The ideal candidate possesses expertise in languages such as Python, C++, Java, or JavaScript, along with a proven track record of delivering large-scale software systems in AI or related fields. This role demands an agile mindset, the ability to iterate quickly, and strong collaboration skills in a fast-paced environment focused on creating enterprise-grade agentic workflows at scale.

Skills

Python C++ C# Java JavaScript Azure LLMs SLMs CI/CD Docker Kubernetes Terraform Prometheus Grafana Git REST GraphQL

What you'll do

Design and optimize training infrastructure for LLMs, SLMs, and multimodal models.
Build scalable and reliable services to meet security and privacy requirements.
Implement production traffic-serving services with high reliability.
Participate in improving engineering systems and practices for complex cloud environments.
Contribute to the deployment and monitoring of AI services in production.

What we're looking for

4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, Python.
Experience building and optimizing training infrastructure for large-scale software systems, especially in AI or machine learning fields.
Ability to design and implement highly scalable and reliable services for production environments.
Strong background in deploying and monitoring services in complex cloud environments.
Proven track record of continuous improvement and agile development practices.

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