Software Engineer 2 - CoreAI

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.
• 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.

Required/Minimum 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.

Other Requirements

Ability to meet Microsoft, customer, and/or government security screening requirements required for this role, including:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

• 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
• 4+ years of experience designing, building, and operating production-grade software and services at scale
• Experience designing, building, and shipping cloud-scale distributed systems, workflow engines, platform services, or event-driven architectures.
• Understanding of cloud platforms such as Azure, AWS, or GCP.
• Experience with AI/LLM-based systems, agent frameworks, reasoning or orchestration systems, or integrating AI capabilities into production services.
• Hands-on experience developing in AI-enhanced environments using tools such as GitHub Copilot or similar.
• Ability to clearly articulate complex technical concepts and collaborate across engineering and product organizations

Pay and benefits

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.