Senior Software Engineer, Responsible AI

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$119,800–$234,700 / yr
Posted
14 days ago
Freshness
Confirmed live today
Closes
Apr 10, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $177k
$106k $248k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $149,500–$195,575 — the blue band above. At the midpoint, this role pays about $177k versus about $173k 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Responsible AI

Senior Software Engineer - Responsible AI - CoreAI joins the Responsible AI group to identify, measure, mitigate, and monitor risks in AI-generated and human-generated content across text, image, audio, video, and multimodal formats. You will design and develop large-scale distributed cloud services with a focus on high availability, scalability, robustness, and observability. Key responsibilities include owning the development lifecycle, driving DevOps culture, and integrating new services with Azure AI Content Safety and Azure OpenAI Service. The role requires proficiency in coding languages such as C, C++, C#, Java, JavaScript, or Python. You will solve complex problems regarding safety and governance platforms, inference routing, policy enforcement, and multimodal safety infrastructure, ensuring high performance and low latency for global AI workloads.

What does a Software Engineer earn?

Median $197400 from 2576 postings across 150 companies.

See salary data

What you'll do

  • Design and develop large-scale distributed cloud services with a focus on high availability and scalability.
  • Lead project development across the organization by coordinating with subject matter experts and stakeholders.
  • Manage the end-to-end development lifecycle and production readiness of built services.
  • Drive a DevOps culture and uphold modern software engineering best practices through code and design reviews.
  • Make effective service decisions based on data, telemetry, and performance metrics.
  • Collaborate with stakeholders to create cohesive, end-to-end experiences for Microsoft customers.
  • Own the design of new AI services and their integration with existing Azure AI products.

What we're looking for

  • Bachelor's Degree in Computer Science or a related technical field.
  • 4+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
  • Ability to pass the Microsoft Cloud background check.
  • 4+ years of technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems (preferred).
  • 2+ years of technical engineering experience with machine learning model development, release, and operations (preferred).
  • Depth of knowledge in software architecture, design tradeoffs, and mature DevOps culture practices (preferred).
  • Experience using artificial intelligence tools and practices across the software development lifecycle (preferred).
  • Experience in AI safety, governance, inference, orchestration, or multimodal safety infrastructure (preferred).

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