Drimva

Microsoft

Senior Software Engineer - Responsible AI - CoreAI

$120K–$304K

Mountain View, CA +1 · On-site · Senior · Full-time · Posted Oct 12, 2026

Location
Mountain View, CA
Redmond, WA
Experience
4+ years required; preferred: 4+ years in cloud services/distributed systems and 2+ years in machine learning model development, release, and operations.
Education
Bachelor's Degree in Computer Science or related technical field.

About the job

Designs and delivers scalable cloud services that identify, measure, mitigate, and monitor responsible AI risks across text, image, audio, video, and multimodal content.

What you'll do

  • Design and develop large-scale distributed cloud services focused on availability, scalability, robustness, and observability.
  • Lead cross-organizational development and coordinate project plans with stakeholders.
  • Own service development through production readiness and promote DevOps and engineering best practices.

What they ask for

  • Bachelor's Degree in Computer Science or related technical field.
  • 4+ years technical engineering experience coding in C, C++, C#, Java, JavaScript, or Python.
  • Ability to meet Microsoft, customer and/or government security screening requirements, including a Microsoft Cloud Background Check.

Nice to have

  • 4+ years designing and delivering highly available, large-scale cloud services and distributed systems; 2+ years with machine learning model development, release, and operations.
  • Experience with AI safety/governance, inference or evaluation systems, multimodal safety, agent governance, deployment automation, or disciplined AI tool use across the SDLC.

Pay

USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary); USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)

Tools

C, C++, C#, Java, JavaScript, Python, Azure AI Content Safety, Azure OpenAI Service

AI focus

Builds customer-facing Responsible AI services to identify, measure, mitigate, and monitor AI risks; preferred areas include AI safety and governance, model operations, evaluation, red teaming, monitoring, multimodal safety, and agent governance.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)