Microsoft Corporation
Principal Applied AI Engineer
Microsoft Corporation, Redmond, Washington, United States, 98052
Overview
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 on building 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. 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. 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, robustpipelinesand 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 at 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 Qualifications
Required Qualifications Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4 years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3 years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 2 years’ experiencewith transformer-based models (e.g., GPT, Llama). 2 years’ experiencein coding and design, specifically in the development of AI models for scaled production services. 2 years’ experiencein shipping applied research to production, highlightinga track recordof combining coding skills with advancedexpertisein AI model development. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required 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 AND10 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’ experiencein coding and design, specifically in the development of AI models for scaled production services. 6 years’ experiencein shipping applied research to production, highlightinga track recordof combining coding skills with advancedexpertisein 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 inApplications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) orVision, Audio, and Multimodal Foundation Modelsoragentic SystemsorPrompt Tuning orNatural Language ProcessingorHuman-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 IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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 $188,000 – $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br> Microsoft will accept applications for the role until October 20th, 2025 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.
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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 on building 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. 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. 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, robustpipelinesand 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 at 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 Qualifications
Required Qualifications Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4 years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3 years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 2 years’ experiencewith transformer-based models (e.g., GPT, Llama). 2 years’ experiencein coding and design, specifically in the development of AI models for scaled production services. 2 years’ experiencein shipping applied research to production, highlightinga track recordof combining coding skills with advancedexpertisein AI model development. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required 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 AND10 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’ experiencein coding and design, specifically in the development of AI models for scaled production services. 6 years’ experiencein shipping applied research to production, highlightinga track recordof combining coding skills with advancedexpertisein 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 inApplications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) orVision, Audio, and Multimodal Foundation Modelsoragentic SystemsorPrompt Tuning orNatural Language ProcessingorHuman-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 IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 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 $188,000 – $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ;br> Microsoft will accept applications for the role until October 20th, 2025 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.
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