Senior Software Engineering Manager
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 26, 2025 | |
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OverviewMicrosoft is committed to building Azure into an AI supercomputer for the world and to enable the use of this infrastructure to responsibly develop breakthrough foundational AI, including large language models (LLMs) that can empower people to better harness the world's knowledge, revolutionize the way we interact with technology and improve user experience. To foster Microsoft's leadership in this field, we have launched a transformative program to develop the next generation of leaders in Artificial Intelligence (AI).Based at the Microsoft headquarters in Redmond, WA, and at the Microsoft New England Research and Development Center, in Cambridge, MA, the Microsoft AI Development Acceleration Program (MAIDAP) recruits motivated individuals from Bachelors (BS), Masters (MS), Masters of Business Administration (MBA) and Doctorate (PhD) programs to join a two-year journey solving some of Microsoft's most complex AI challenges. MAIDAP collaborates closely with engineering teams across the company to drive innovation and deliver real-world impact. We are seeking a Senior Software EngineeringManagerto help shape the future of Microsoft's AI talent and build transformative, AI-powered experiences for our customers. In this role,you'llguide our efforts by leading a team of early in profession software engineers, working with our partners toidentifyand build strategic examples of AI innovation, and delivering a framework for integration of our modules into Microsoft's AI Platform. As a Senior Software EngineeringManageron our team, you will shape our program's development lifecycle, establishengineering best practices, and play a key role in hiring and nurturing a diverse, high-performing team. We embrace a culture which is customer focused, collaborative, fun loving and iterative-one that delivers continuously and drives engineering excellence. If you are a software engineer who is passionate about developing people and looking to havea huge impactat Microsoft in AI, this could be your ideal role. 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.
ResponsibilitiesTechnical Oversight: Provide hands-on technical guidance, review designs, code implementation and Pull Requests (PRs), define Application Programming Interfaces (APIs)/data contracts, architect scalable systems, and establish evaluation frameworks to de-risk complex systems. Recruit and lead a group of new-to-career software engineers focused on advancing Microsoft's AI capabilities by working on projects sourced from product teams across the company.Partner with multiple engineering and business partnersacross the companyto ensure that the solutions meet their business goals and can be successfully integrated into their codebase. Create an inclusive work environment where every employee can effectively engage and wants to be part of the team. Provide ongoing feedback that helps your direct reports improve their performance.AI Strategy & Architecture: Set direction for AI-native security experiences and platform components, LLMs vs classical Machine Learning (ML), Retrieval-Augmented Generation (RAG) design, grounding, model routing/fallbacks, and safety guardrails to meet customer outcomes and Service Level Objectives (SLOs). Responsible AI & Compliance: Ensure privacy, security, and Responsible AI guardrails are considered from day one. Coordinate safety reviews, abuse prevention, compliance, and incident readiness. Architect the framework for abstraction and reuse of our AI modules for integration into the AI platform, choose theappropriate internalor external technologies, incorporate research, create design and validation collateral, including test automations that are reused across the program. Around 10% travel may be required.Embody our culture and values. | |