Principal Applied AI Engineer

The Business & Industry Copilots (BIC) group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Microsoft Copilot Studio, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

The BIC Agent Cloud organization at Microsoft is among the most thrilling to be a part of. BIC Agent Cloud products herald a new era of business applications that are data-initiated, AI-driven, built for collaboration, and simplify business problem-solving with low-code/no-code platforms. Our team is responsible for developing the platform for Dynamics 365 suite of business applications, and the Power Platform suite of low-code tools. We are at the vanguard of digital transformation, enabling organizations to revolutionize the creation of Copilots through state-of-the-art AI solutions and product offerings. This new productivity era leverages the power of data, AI, and productivity tools to deliver unmatched experiences across all channels.

We are seeking a highly accomplished Principal Applied AI Engineer with deep expertise in large language models (LLMs) - including both text and multimodal systems - reinforcement learning, agentic AI architectures, and large-scale model training and inference optimization. This is a senior individual contributor role for a thought leader who brings together cutting-edge research excellence and strong applied instincts. You will operate at the frontier of AI science and product innovation, driving the design and deployment of next-generation AI systems at scale. You will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions. This can range from working together onbuilding fine-tuned models to coming up with ways to build custom LLMs for specific product needs.

We are excited to hear from candidates who are passionate about making a significant impact on how people interact with their computers, and who are excited about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize productivity and innovation.

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. This expectation is subject to local law and may vary by jurisdiction.   

Required Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)

• OR master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.  

• 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.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements arerequired for this role. These requirements include, but are not limited to the following specialized security screenings:Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications 

• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.

• 8+ years’ experience conducting research as part of a research program (in academic or industry settings). 

• 6+ years’ experience in coding and design, specifically in the development of AI models for scaled production services.   

• 6+ 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, withexpertisein developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.

• 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 agrowthmindset, customer obsession, and Inclusion.

• 6+ years of experiece Demonstrated passion for product impact, including state-of-the-art tools, technologies, and methods being used in the research community and product groups.  

Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#MicrosoftAI

• 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.

• Stay up to date with the latest advancements in LLM, NLP, deep learning, search and AI research. 

• Research and develop an understanding of thestate-of-the-arttools, technologies, and methodsbeing usedin 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

• Collaborate with stakeholders to define project goals, success criteria, and deliverables.Leadend-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.

• Mentor applied scientists and provide technical leadership across high-impact projects, foster a collaborative and innovative work environment.

• Driving the team's strategic vision, contribute to the organization’s scientific direction and align it with the overall companyobjectives,influencing roadmaps and long-term vision.

• Conduct applied science experiments,createandvalidatemetrics, develop ML pipeline and modeling algorithmin the area ofLarge Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.

• Conduct experiments to evaluate model performance (including Large Language Models), troubleshoot issues, and iterate improvements.

• Developand deploy conversational and language understanding models atscale.

• Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.

• Drive thought leadership, architecture for high scale, high throughput, low latency inferencing.

• Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.

• Be involved in the onboarding process for new team members, providing guidance and support as they join the team.

• Embody our Culture, Values & Responsible AI standards