Senior AI Engineer Job at Microsoft Corporation

Job Description

In the 1980s, Microsoft Office revolutionized global industries and empowered the modern information worker by moving knowledge work from typewriters and physical ledgers to Microsoft Office. Today, you are looking at a leadership opportunity at Microsoft Office AI Team to lead the next revolution in history, evolving Office from a digital tool into an intelligent copilot, as a Senior AI Engineer. Sitting at the intersection of agentic AI and next-generation multi-modal intelligence, you are missioned to architect and define transformative AI solutions across Microsoft 365, empowering hundreds of millions of users to work and create naturally through text, voice and vision-based experiences. Achieving such goals requires more than just technical depth; it demands a unique mastery - the ability to deeply understand, build, and architect the end-to-end intelligence that defines how AI behaves at scale. You will step beyond traditional boundaries to operate as a multidisciplinary role, seamlessly bridging Software Engineering (SWE), Applied Science (AS), Product, and Design to ensure the true power of ML/LLM models are fully harnessed to translate cutting-edge capabilities into secure, reliable, and delightful user experiences. Together, you will lead the delivery of intelligent breakthrough multi-modal systems powering Copilot agentic experiences across Word, Excel, PowerPoint, and beyond. As a Senior AI Engineer, you will lead the design, development, and shipping of production-grade agentic and/or multi-modal AI systems that integrate directly into core M365 Copilot experiences. Through your dedication, the future is in your hand to set the industry bar with autonomous agents, multi-agent frameworks, and LLM-powered workflows that fuse text, voice, and vision to translate user intent into high-quality outcomes at global scale. If you are passionate about advancing the frontiers of AI and shaping how people interact with technology, we invite you to join our mission.

Job Responsibility

Architect, prototype, and lead the iteration on AI agent experiences that reimagine Office workflows, rapidly validating feasibility, UX, and technical approaches, while pushing the frontier of the agent-driven productivity.
Drive the delivery of features by operating at the true intersection of AS and SWE, where a single AI engineer can unlock disproportionate impact by translating model capability and product intent into intelligent, production-ready systems.
Design evaluation frameworks and observability tools to monitor real-time agent health, investigate customer feedback, and build continuous learning systems for end-to-end AI workflows.
Invent and lead industry-defining multimodal AI experiences across Microsoft 365 by exploring new interaction paradigms and robust system architectures that unlock and define natural user interface between human and AI.
Cultivate a culture of technical excellence and continuous learning. Proactively identify and drive systemic improvements to build processes and engineering standards, while mentoring junior coworkers to elevate the technical bar of the team.
Embody Microsoft culture and values.

Requirements

Bachelor's degree in Computer Science, Engineering, or related technical field AND 4+ years technical engineering experience including some production experience building applications with LLMs and/or deploying ML/LLM/agent systems with coding in languages including, but not limited to, Python, Typescript/Javascript, C, C++, or C#

Nice to have

2+ years of experience training, fine-tuning, and evaluating ML/LLM models, including data preparation, experiment design, offline/online validation, and performance optimization.
Course work, research, or relevant training in ML/AI/LLMs, with a demonstrated track record of pushing into new interdisciplinary areas at the intersection of applied science, engineering, and product.
Proven track record of technical leadership, including orchestrating complex agentic systems in production, advanced prompt design, tool/function calling, context and memory management, routing/planning, and evaluation.
Deep understanding of async programming patterns, microservices architecture, and event-driven systems.
Growth mindset, resilience, and excellent communication & collaboration skills.

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Senior AI Engineer

Job Description

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