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Principal Software Engineering Manager

Microsoft

$163,000 - $296,400
Sep 23, 2025
Redmond, WA, US
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Microsoft's Business & Industry Copilots (BIC) group is seeking a Principal Software Engineering Manager to 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 and product offerings for the Dynamics 365 and Power Platform suites.

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.
  • 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.
  • 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.
  • 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

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 the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
  • 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.
  • 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

  • Role type: People Manager
  • 3 days / week in-office
  • Travel: 25-50%
  • 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.