Senior Software Engineer - CoreAI

Microsoft•Redmond, WA

1d•$119,800 - $261,000•Hybrid

About The Position

The future of software development will be shaped by AI agents that can understand, reason about, and safely evolve complex codebases. The Engineering Horizons team is building platforms, infrastructure, and developer experiences that enable engineers and AI agents to work together with confidence across the largest and most complex software systems. We are looking for a Senior Software Engineer to design, build, and deliver code intelligence, validation, and agent-driven engineering capabilities. You will work with engineers, scientists, and product partners at the intersection of distributed systems, applied AI, software engineering productivity, and developer tooling. You will contribute to reliable systems that help engineering teams and AI agents understand code, validate changes, and accelerate software development. This opportunity will allow you to deepen your experience in AI-assisted software engineering, large-scale code understanding, distributed systems, and production service development with talented colleagues across Microsoft’s most critical code bases. You will be onsite at least 3 days a week working with an agile team of Scientists and Engineers. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. Our team values a friendly, collaborative atmosphere with a passion for technology. We believe strongly that a diverse team that applies empathy and leverages high-quality communication skills helps us deliver superior products and is key to our success.

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Nice To Haves

Experience designing, building, testing, and supporting production software or software-based services.
Experience with distributed systems, cloud services, developer platforms, data-intensive systems, or software engineering infrastructure.
Experience contributing to technical designs and delivering software features or components through the complete development lifecycle.
Ability to work independently in highly ambiguous scenarios.
Experience with AI assisted software development.
Experience with large language models, agentic systems, retrieval systems, or code-generation technologies.
Experience with static analysis, code indexing, semantic search, repository intelligence, source-control platforms, CI/CD systems, or software validation.
Experience building or operating reliable, data pipelines, developer tools, or engineering productivity systems.
Experience using telemetry, testing, evaluation methods, or operational metrics to improve software quality and system reliability.

Responsibilities

Design, implement, test, and maintain scalable services, data pipelines, and developer infrastructure that support code understanding, semantic analysis, validation, and AI-assisted software engineering experiences.
Own the design and delivery of significant features or system components, making appropriate engineering tradeoffs across reliability, performance, security, maintainability, and delivery needs.
Collaborate with scientists, product managers, and engineers to translate emerging AI capabilities and customer requirements into reliable production systems.
Contribute to technical designs and architecture discussions, identify dependencies and risks, and help the team make informed implementation decisions.
Improve the quality and operational health of services through monitoring, telemetry, debugging, root-cause analysis, automated testing, and engineering best practices.
Work with partner teams to integrate code intelligence and validation capabilities into developer tools, repositories, build systems, and AI-assisted engineering workflows.
Share technical knowledge, participate in design and code reviews, and mentor other engineers through hands-on collaboration and engineering guidance.