Senior AI Engineer

Microsoft • Redmond, WA

2d • $119,800 - $261,000

About The Position

As a Senior AI Engineer on Microsoft’s Office AI team, you will help create AI-native work experiences across Copilot in Office and Copilot Cowork. You will work with customers, users, and domain experts to understand real-world workflows, identify valuable opportunities for AI, and translate ambiguous problems into practical product and technical decisions. This includes determining which workflows agents should handle, the knowledge and tools they need, appropriate levels of autonomy, and where human judgment is essential.

You will prototype, build, evaluate, deploy, debug, and improve production-grade domain agents in customer environments. The work spans grounding, orchestration, tool use, enterprise permissions, reliability, observability, and evaluation. You will validate solutions using real enterprise data and applications, account for security boundaries and operational constraints, and use production feedback to diagnose failures and iterate. As common patterns emerge, you will help turn repeated solutions into reusable Office AI platform capabilities for agent development, knowledge access, orchestration, evaluation, and debugging.

Microsoft describes its mission as empowering every person and organization to achieve more. Employees are expected to bring a growth mindset, innovate, collaborate, and uphold respect, integrity, accountability, and inclusion.

Requirements

• Bachelor’s degree in Computer Science or a related technical field and at least 4 years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
• Growth mindset, resilience, and communication and collaboration skills.

Nice To Haves

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field and at least 4 years of technical engineering experience, or a Ph.D. and at least 3 years of experience.
• At least 4 years of professional software development experience with languages such as Python, TypeScript/JavaScript, C, C++, or C#.
• At least 2 years of experience training, fine-tuning, and evaluating ML/LLM models, including data preparation, experiment design, offline and online validation, and performance optimization.
• At least 2 years of production experience architecting and deploying applications with LLMs and/or agent systems.
• Coursework, research, or relevant training in ML, AI, or LLMs, with a demonstrated record of working in interdisciplinary areas spanning applied science, engineering, and product.
• Technical leadership experience, including orchestrating production agentic systems, prompt design, tool or function calling, context and memory management, routing or planning, and evaluation.
• Deep understanding of asynchronous programming patterns, microservices architecture, and event-driven systems.
• Experience in a professional domain such as finance, accounting, or human resources, including understanding domain-specific workflows, business rules, and customer needs.
• Experience in forward-deployed engineering or a similar customer-facing technical role, partnering directly with customers to build secure and scalable systems, operate deployed solutions, and improve them using production feedback.

Responsibilities

• Architect, prototype, and iteratively develop AI agent experiences that reimagine domain-specific workflows across Copilot in Office and Copilot Cowork; validate feasibility, user experience, and technical approaches.
• Deliver features at the intersection of software engineering, applied science, product, and domain expertise by translating customer needs, domain knowledge, model capabilities, and product intent into production-ready systems.
• Design evaluation frameworks and observability tools to monitor agent health, investigate customer feedback, and build continuous-learning systems for end-to-end AI workflows.
• Work directly with customers and domain experts to understand complex workflows, explore interaction paradigms, and build system architectures that support collaboration between people and AI.
• Identify and drive improvements to agent development platforms, engineering and domain knowledge bases, build processes, and engineering standards.
• Mentor coworkers and promote technical excellence and continuous learning.
• Embody Microsoft culture and values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior