Principal Software Engineer, Responsible AI

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $142,800–$274,800 / yr
Posted: 130 days ago
Closes: Aug 16, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k

This role $209k

$127k most similar roles pay here $291k

This role pays more than 51% of similar roles. Most pay $168,943–$236,900 — the shaded band above. At the midpoint, this role pays about $209k versus about $203k 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 559 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer, Responsible AI

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As a Principal Software Engineer - Responsible AI at Microsoft’s CoreAI organization, you will join the Foundry team to build customer-facing AI services with scalable architecture and high performance. Your role involves designing large-scale distributed cloud services for Azure AI Content Safety, Azure OpenAI Service, and more, ensuring they are highly available and robust. You will lead project development, collaborate with experts across the company, and drive DevOps culture through code reviews and data-driven decisions. The ideal candidate has extensive experience in developing and delivering large-scale cloud services and machine learning models, along with a deep understanding of software architecture and mature DevOps practices. Proficiency in languages like C++, Java, JavaScript, Go, or Python is essential, as is the ability to navigate Microsoft’s complex environment and inspire peers towards innovation and value generation.

Skills

Python Java JavaScript Go C# Azure Kubernetes Docker CI/CD Terraform PostgreSQL Redis Prometheus Grafana Git GitHub DevOps MLOps REST GraphQL

What you'll do

Design and develop large-scale distributed cloud services with a focus on high availability and scalability.
Lead project development by working with subject matter experts and stakeholders to drive release plans.
Evaluate alternative architectures and technologies to best fit business requirements and service KPIs.
Take end-to-end responsibility for the development lifecycle and production readiness of AI services.
Drive modern software engineering practices through code and design reviews, making data-driven decisions.
Collaborate with stakeholders to create cohesive, end-to-end experiences for Microsoft customers.

What we're looking for

6+ years of experience designing and delivering highly available, large-scale cloud services.
Extensive background in developing machine learning models, including release and operations.
Proficiency in coding with languages such as C++, Java, JavaScript, Go, or Python.
Strong ability to navigate the company and influence engineering and product development peers.
Deep understanding of software architecture and mature DevOps practices.
Track record of delivering innovative insights that generate business value.

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