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Required/Minimum Qualifications:
Additional or Preferred Qualifications:
Essential Skills:

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Your focus will be to lead the
Some of your responsibilities include:

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The candidate will leverage external and internal data to identify talent pools, assess market feasibility, and uncover competitive trends. You will design and implement sourcing strategies that go beyond traditional methods—using intelligence to anticipate and track talent movement, research competitors and industry trends, and optimize our location strategies.
Required/minimum qualifications
Additional or preferred qualifications
Data Analysis & Hiring Plans

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Required Qualifications
Preferred Qualifications
Solution Design and Proof
Adapts and extends architecture patterns to accommodate complex customer requirements and drive integration solutions for industry flavor. Delivers assets that can be leveraged by others in the business.

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This role requires an experienced professional who thrives in complex environments, canneeds, and consistently delivers with discretion, judgment, and professionalism.
This is more than an administrative role
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:
Additional or preferred qualifications
Executive Business Administrator ATR-D - The typical base pay range for this role across the U.S. is USD $30.29 - $50.53 per hour. 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 $41.83 - $57.88 per hour.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until
Embody our

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? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency.lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.
in natural language processing (NLP), witha strong foundationin large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation—to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential. The candidate should be comfortable working in a fast-paced, experimentation-driven environment,both offline and online evaluation methods to iterate rapidly andagent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.
Qualifications
Preferred Qualifications:
and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings:

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These jobs might be a good fit