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Software Engineer 2 - CoreAI

Microsoft· Software Engineering
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Redmond, WA$102.1k - $202.2kfull-timePosted 1w ago

About the role

Azure Logic Apps team seeking a Software Engineer 2 - CoreAI to build AI-native, agentic, and distributed platform capabilities within Logic Apps, enabling autonomous task orchestration and AI-first workflows on cloud services.

Responsibilities

  • Lead System Design & Architecture: Drive architecture discussions, author design documents, and design scalable platform components for AI-native, agentic, and distributed systems, balancing security, compliance, reliability, long-term sustainability, and delivery.
  • Deliver High-Quality Code: Write extensible, maintainable, and performant code across platform and runtime components. Debug complex production issues, optimize distributed systems, review code, and uphold high engineering standards.
  • Build AI-Native Platform Capabilities: Design and develop foundational capabilities that enable AI agents to reason, plan, orchestrate, and execute tasks across customer workflows, including integration with AI models, agent frameworks, workflow engines, and cloud services.
  • Drive Implementation & Deployment: Lead project planning and experimentation, validate the impact of changes, and ensure safe and reliable deployment of platform capabilities across globally distributed environments.
  • Ensure Reliability & Operational Excellence: Improve the performance, reliability, and scalability of mission-critical cloud services. Maintain live-site health, develop incident response playbooks, lead root cause analyses (RCAs), and implement systemic improvements that strengthen service reliability.
  • Advance Engineering Tools & Practices: Build developer tools and automation that improve engineering velocity and AI-augmented development workflows. Apply data and telemetry to identify opportunities, guide technical decisions, and continuously improve the platform.
  • Shape Product & Technical Strategy: Influence the product roadmap and architecture by combining customer feedback, telemetry, business goals, and emerging AI technologies to determine where the platform should evolve.
  • Foster Cross-Team Alignment: Collaborate across Core AI and partner engineering and product teams to deliver cohesive end-to-end experiences and establish shared technical direction across distributed systems, AI orchestration, and cloud platform capabilities.
  • Build Core Capabilities: Design reusable platform services and building blocks spanning distributed systems, event-driven architectures, stateful runtimes, workflow automation, enterprise integration, and AI orchestration to accelerate innovation and team velocity.

Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Skills

Required:Bachelor's Degree in Computer Science or related fieldProgramming in C/C++/C#/Java/JavaScript/Python
Last updated Oct 16, 2026. Interested? Apply on the company site.

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