Software Engineering IC6

MicrosoftRedmond, WA
4d

About The Position

Based in Redmond, this principal individual contributor role will help define and deliver an end-to-end strategy across Retrieval, Context Engineering, WorkIQ/FabricIQ, and potentially Knowledge Graphs to drive a winning E2E approach for Microsoft. In addition to helping define the overall technical strategy and roadmap with partner PMs and engineering leaders, you will be hands-on building and integrating services step-by-step, writing production code across the product. #AIPLATFORM#

Requirements

  • Bachelor's Degree in Computer Science or related technical field and 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python or equivalent experience.

Nice To Haves

  • Proven experience as a senior IC software engineer building and operating cloud services (Azure preferred).
  • Expertise building retrieval systems, context engineering, and/or knowledge graph systems.
  • Experience with distributed systems, service reliability, observability, performance, and live-site operations.
  • Experience leading technical direction across multiple partner teams and delivering cross-team integrations.
  • Ability to translate ambiguous problem spaces into concrete technical roadmaps and executable plans.
  • Familiarity with LLM application patterns (RAG, agents/tools), data pipelines, and evaluation/quality loops.
  • Demonstrated success driving adoption of AI-assisted coding practices and developer productivity workflows.
  • Experience with multi-tenant platform design, security/compliance considerations, and large-scale integration testing.

Responsibilities

  • Drive end-to-end technical strategy and roadmap across Retrieval, Context Engineering, WorkIQ/FabricIQ, and Knowledge Graph.
  • Design and implement scalable cloud services and platform components; write production code to deliver features and integrations.
  • Partner closely with PMs and engineering leads to define an ambitious but achievable execution plan.
  • Collaborate with multiple engineering ICs to build, integrate, and ship E2E scenarios across teams.
  • Establish engineering best practices for reliability, security, performance, and operational excellence in Azure.
  • Aggressively introduce and scale AI-assisted coding practices by pairing with developers and helping implement features using these workflows.
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