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Principal SWE Lead

Microsoft· Software Engineering
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Redmond, WA$142.8k - $274.8kFull-timePosted 2w ago

About the role

Microsoft SCIM is seeking a Principal Software AI Engineer to lead architecture, development, and production deployment of agentic AI solutions for transforming support experiences within the CSS organization of MCAPS-Core.

Responsibilities

  • Architect and build production-grade AI systems. Design, implement, and operate agentic AI solutions, diagnostic experiences, orchestration workflows, and supporting platforms using governed ProCode and citizen-development technologies where appropriate.
  • Set technical direction. Define architecture, engineering strategy, design principles, and reusable patterns for AI solutions that must operate securely and reliably at enterprise scale.
  • Lead through code and engineering rigor. Develop critical components, conduct design and code reviews, establish testing standards, and resolve the most complex technical and architectural issues.
  • Integrate with the support ecosystem. Connect AI solutions to Microsoft support systems, APIs, knowledge sources, telemetry, and enterprise data while ensuring appropriate access controls and data handling.
  • Advance agent orchestration and diagnostics. Solve difficult problems in planning, context and state management, tool use, multi-agent coordination, retrieval, grounding, observability, and failure recovery.
  • Build robust evaluation capabilities. Establish technical, unit, integration, regression, and end-to-end testing for prompts, models, tools, orchestration flows, and system integrations.
  • Validate quality and readiness. Evaluate groundedness, accuracy, task completion, robustness, latency, cost, safety, and failure modes at each deployment milestone in partnership with TPMs and support-domain experts.
  • Deliver enterprise-ready solutions. Deploy and operate services in Microsoft cloud environments in accordance with security, privacy, compliance, Responsible AI, reliability, and scalability requirements.
  • Define measurable outcomes. Establish success metrics and telemetry that demonstrate customer value, support effectiveness, engineering health, operational readiness, and suitability for scale.
  • Drive operational excellence. Create monitoring, incident response, debugging, and continuous-improvement mechanisms for AI systems in production.
  • Influence across organizations. Partner with senior leaders and cross-functional teams to align priorities, manage technical tradeoffs, and deliver strategic initiatives spanning multiple organizations.
  • Grow engineering capability. Mentor engineers, raise the technical bar, promote thoughtful experimentation, and build a culture of inclusive collaboration, knowledge sharing, and high-quality execution.
  • Document for long-term success. Maintain clear architecture, design decisions, limitations, evaluation evidence, deployment guidance, and operational runbooks.

Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
  • Ability to meet Microsoft, customer and / or government security screening requirements including the Microsoft Cloud Background Check.

Skills

Required:Architectural design and systems architectureHands-on AI / ML developmentSecurity, privacy, and complianceCommunicationLeadership and mentoring
Nice to have:Distributed systems and cloud services
Last updated Oct 9, 2026. Interested? Apply on the company site.

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