Microsoft's Business & Industry Copilots (BIC) group is looking to solve business problems with data-initiated, AI-driven, and low-code/no-code platforms. The Principal Applied AI Engineer will drive the design and deployment of next-generation AI systems at scale, enabling organizations to revolutionize the creation of Copilots through state-of-the-art AI solutions.
Requirements
- 2+ years’ experience with transformer-based models (e.g., GPT, Llama).
- 2+ years’ experience in coding and design, specifically in the development of AI models for scaled production services.
- 2+ years’ experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
- Deep expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference.
- 6+ years of experience programming with C is preferred
- Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or agentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction
- 6+ years of experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
Responsibilities
- Lead the design and development of advanced AI models and agentic systems for real-world applications.
- Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
- Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
- Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as search, planning, and long-term memory.
- Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models/Agents
- Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
- Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
Other
- Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- 6+ years of experience demonstrating leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
- 6+ years of experience demonstrating a growth mindset, customer obsession, and Inclusion.
