About this role
Software Engineer 2 - CoreAI
United States, Washington, Redmond
Job description
Company and benefits
Job number
200057602
Date posted
Oct 09, 2026
Work site
3 days / week in-office
Travel
Less than 25%
Profession
Software Engineering
Discipline
Software Engineering
Role type
Independent Contributor
Employment type
Full-Time
Overview
The Azure Logic Apps team is looking for a Software Engineer 2 - CoreAI who is passionate about building new products in an AI-driven environment while helping operate highly reliable, globally distributed services.
We deliver platform capabilities that power realtime, reliable, cloudscale workflows, while integrating deeply with AI models, agent loops, reasoning engines, and Core AI services. Logic Apps under CoreAI brings together workflow automation, enterprise connectors, and intelligent agent behaviors so customers can build solutions that plan, reason, and act on their behalf.
As part of Core AI, as a Software Engineer 2 - CoreAI you will help evolve Logic Apps to support agentic execution, autonomous task orchestration, AIfirst workflow design, and adaptive business process automation—all powered by modern cloud services.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
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.