Senior Software Engineer, Responsible AI

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 64 days ago
Closes: Oct 21, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k

This role $177k

$104k most similar roles pay here $269k

This role pays less than 69% of similar roles. Most pay $167,550–$236,900 — the shaded band above. At the midpoint, this role pays about $177k versus about $202k 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 · Senior Software Engineer, Responsible AI

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As a Principal Software Engineer in the Responsible AI group at Microsoft’s CoreAI organization, you will join a team of innovative engineers, scientists, and product managers to build scalable and sustainable customer-facing AI services. Your daily responsibilities include designing large-scale distributed cloud services with a focus on high availability and observability, leading project development across the organization, and ensuring production readiness through rigorous DevOps practices. You will collaborate closely with stakeholders to drive development plans and uphold modern software engineering standards by conducting code reviews and making data-driven service decisions. This role requires expertise in designing highly available cloud services, experience with machine learning model operations, and a deep understanding of AI tools and practices across the SDLC. Ideal candidates should have knowledge in areas such as safety governance platforms for AI models, evaluation infrastructure, and deployment automation to support Microsoft’s mission-critical products like Azure OpenAI Service and Cognitive Services.

Skills

Azure Kubernetes Docker Python C# JavaScript SQL CI/CD Terraform Prometheus Grafana Git GitHub DevOps REST Swagger OpenAPI PostgreSQL Redis MongoDB GraphQL

What you'll do

Design and develop large-scale distributed cloud services with a focus on high availability.
Lead project development and work with stakeholders to drive release plans.
Ensure production readiness of AI services and foster a DevOps culture.
Uphold modern software engineering practices through code and design reviews.
Collaborate with stakeholders for cohesive end-to-end customer experiences.

What we're looking for

4+ years of experience designing and delivering highly available, large-scale cloud services.
2+ years of technical engineering experience in machine learning model development and operations.
Deep understanding of software architecture, design tradeoffs, and mature DevOps practices.
Experience with AI tools and practices across the software development lifecycle.
Expertise in safety and governance platforms for AI models or multimodal safety infrastructure.
Knowledge of deployment automation, CI/CD, and compliance tooling for zero-manual-effort deployments.

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