Software Engineer 2 - CoreAI

Microsoft’s CoreAI Modernization Agent team builds AI-powered systems and developer experiences that help modernize existing software. The Software Engineer 2 designs and builds agents and platform capabilities that analyze codebases, plan and validate upgrades, integrate with developer workflows, and improve modernization outcomes.

Responsibilities:

• Build AI-Powered Modernization Experiences: Design and implement agentic experiences that help developers understand, plan, execute, and validate software modernization work across complex applications and codebases
• Architect for Scale and Sustainability: Design and evolve durable, scalable architectures for modernization agents and supporting services, balancing rapid innovation with long-term maintainability, reliability, security, and performance
• Direct Engineering Impact: Lead by example by producing high-quality, extensible, and maintainable code. Establish and apply engineering practices, metrics, testing strategies, and coding patterns that improve product quality and accelerate development
• Advance AI-First Engineering: Explore and apply advances in AI, models, agents, tools, and software engineering techniques to improve the effectiveness and autonomy of modernization workflows while maintaining appropriate developer control and trust
• Integrate Across the Developer Workflow: Build capabilities that connect modernization agents with repositories, build and validation systems, developer tools, and other engineering workflows to create cohesive end-to-end modernization experiences
• Build Foundational Capabilities: Develop reusable components, agent capabilities, tools, and platform building blocks that enable the team and partner organizations to rapidly expand modernization scenarios
• Foster Engineering Alignment: Work across engineering teams and partner organizations to drive clarity, technical alignment, and shared ownership of architecture, interfaces, and modernization experiences
• Champion Customer-Centric Development: Engage directly with developers, product teams, and enterprise customers to understand modernization challenges, incorporate feedback, and ensure that product investments address meaningful real-world problems
• Operational Excellence: Maintain a high bar for reliability, security, privacy, performance, and responsible AI. Use telemetry and customer signals to continuously improve the quality and effectiveness of modernization experiences