Drimva

Microsoft

Principal Software Engineer - CoreAI

$143K–$304K

Redmond, WA · On-site · Principal · Full-time · Posted Oct 5, 2026

Experience
6+ years technical engineering experience; bachelor's degree in a related field or equivalent experience.
Education
Bachelor's Degree in Computer Science or related technical field OR equivalent experience.

About the job

Leads development of Azure AI Search retrieval and knowledge systems, delivering secure, scalable cloud services and AI-powered products for enterprise and next-generation applications.

What you'll do

  • Lead architecture, design, implementation, and delivery of large-scale cloud services and AI-powered products, including secure, permission-aware retrieval systems.
  • Drive service reliability, performance, scalability, and live-site operations, including monitoring, incident response, and root cause analysis.
  • Provide technical leadership and mentor engineers while collaborating across teams to evolve foundational retrieval and AI platform capabilities.

What they ask for

  • Bachelor's Degree in Computer Science or related technical field and 6+ years 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.

Nice to have

  • Experience designing and building large-scale distributed systems in a cloud environment.
  • Experience with search technologies, information retrieval, ranking systems, vector databases, recommendation systems, AI/ML systems, LLMs, RAG, agent frameworks, or knowledge management platforms.

Pay

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, Rust, Azure AI Search

AI focus

Develops AI-powered retrieval and knowledge systems, including search and platforms for LLMs, AI agents, enterprise knowledge experiences, and next-generation retrieval.

Model-written summary · the original posting is authoritative

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