Microsoft
Senior Software Engineer
$120K–$261K
Redmond, WA +1 · On-site · Senior · Full-time · Posted Oct 29, 2026
- Location
- Redmond, WA
Austin, TX - Experience
- 4+ years of technical engineering experience with coding; equivalent experience is an alternative to the degree-and-experience requirement.
- Education
- Bachelor's Degree in Computer Science or related technical field, or equivalent experience.
About the job
Leads the design, development, and operation of production software and AI solutions supporting Microsoft’s cloud supply chain, including copilots, agents, and enterprise AI platforms.
What you'll do
- Build production-grade copilots, autonomous agents, and multi-agent workflows; create AI integration patterns, APIs, and platform capabilities.
- Design secure enterprise data and application integrations, and develop evaluation and observability frameworks for AI systems.
- Drive model, scalability, and optimization decisions; apply security, privacy, and compliance controls and resolve production incidents.
What they ask for
- Bachelor’s Degree in Computer Science or related technical field and 4+ years of technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Nice to have
- Experience with distributed cloud services or enterprise-scale platforms and AI applications using LLMs, prompt engineering, embeddings, vector search, or RAG.
- Experience with AI platforms such as Azure OpenAI, Azure AI Foundry, Semantic Kernel, or AutoGen; AI evaluation, responsible AI, and production AI systems.
Pay
USD $119,800 - $234,700 per year (base pay); USD $160,200 - $261,000 per year (base pay)
Tools
C, C++, C#, Java, JavaScript, Python, TypeScript, Azure OpenAI
AI focus
Build and operate AI solutions, including copilots, agents, and multi-agent workflows; develop AI integration, evaluation, observability, security, and optimization capabilities.
Model-written summary · the original posting is authoritative