| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $100,600–$199,000 / yr
Posted: 70 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $150k

$85k most similar roles pay here $251k

This role pays less than 80% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $150k 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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At a glance

TL;DR · | Microsoft Careers

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As a senior software engineer on the generative AI team, you will design, build, and operate production-grade systems that power customer-facing AI services at global scale. Your day-to-day responsibilities include contributing to core GenAI capabilities such as retrieval-augmented generation and context engineering, while ensuring robust testing and monitoring practices are in place. You will work closely with security and compliance teams to meet enterprise requirements and Responsible AI standards, and collaborate with product and customer teams to define technical specifications and deliver high-quality APIs and developer experiences. The role requires expertise in machine learning engineering, experience with MLOps in cloud environments like Azure, and a strong background in software development for complex systems. Ideal candidates have advanced degrees in Computer Science or related fields and a track record of delivering enterprise-scale AI solutions.

Skills

GenerativeAI MultimodalSystems MLOps Azure PromptEngineering RAG MemoryFrameworks CI/CD Python Java C++ Kubernetes Docker PostgreSQL AWS SecurityCompliance ResponsibleAIPractices CloudEnvironments APIDesign Documentation

What you'll do

Design and build production-grade generative AI and multimodal systems from implementation to live operations.
Enhance model quality through evaluation frameworks, experiment design, and telemetry data analysis.
Develop core GenAI capabilities like retrieval-augmented generation and context engineering for enterprise use.
Ensure solutions meet security, privacy, and compliance standards in line with Responsible AI practices.
Work closely with product teams to translate customer requirements into robust APIs and developer experiences.

What we're looking for

3+ years of experience in software engineering, machine learning engineering, or applied AI.
Experience building and shipping generative AI systems, including multimodal scenarios.
Proficiency in MLOps practices for cloud environments (Azure preferred).
Advanced degree in Computer Science, Machine Learning, or related field.
Track record of delivering enterprise-facing AI products at scale.

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