Senior Data Scientist - Agentic Systems

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Posted
2 days ago
Closes
Dec 12, 2026
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $172k
$112k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $129,662–$214,067.

Based on 240 similar postings.

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About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1589 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1415 roles with salary data.

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TL;DR · Senior Data Scientist - Agentic Systems

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The Senior Data Scientist - Agentic Systems role within Microsoft’s Global Marketing Engines and Experiences team involves leading the development of generative AI capabilities that transform marketing analytics operations. This includes building agentic systems to manage Azure DevOps workflows, accelerating analyst delivery through large language model-powered tools, and creating conversational analytics agents for marketers. The position requires hands-on technical expertise in designing agent architectures, integrating with Azure DevOps, and overseeing vendor-developed projects while ensuring quality and performance standards are met. Key skills include experience with Python, modern AI frameworks like LangChain and Semantic Kernel, and the ability to translate complex ML concepts into actionable insights for business leaders. This role is pivotal in shaping Microsoft’s generative AI roadmap within a dynamic, data-rich environment focused on enhancing marketing efficiency and ROI.

Skills

Python LangChain Azure DevOps Azure OpenAI LLM Azure AI Foundry Prompt Design Model Evaluation Agentic Systems RAG CI/CD Azure Responsible AI Semantic Kernel AutoGen Prometheus Grafana

What you'll do

  • Design and build agentic capabilities that enhance AI-native operations in analytics teams.
  • Develop large language model (LLM)-powered tools to accelerate analyst delivery cycles.
  • Lead the design and delivery of conversational analytics agents for marketers.
  • Manage technical scoping, review, and acceptance of vendor-developed generative AI work.
  • Establish shared infrastructure and patterns for reliable agent development within the team.
  • Translate complex applied ML work into clear narratives for executive decision-making.
  • Coach data scientists on generative AI patterns to enhance their capabilities.

What we're looking for

  • Experience designing, building, and shipping generative AI applications in production.
  • Proficiency in Python and modern AI development frameworks.
  • Expertise integrating large language models with enterprise data sources and platforms.
  • Leadership in multi-quarter generative AI initiatives, including vendor management.
  • Ability to translate complex ML work into clear narratives for executive decision-making.
  • Experience building agentic systems using LangChain, Semantic Kernel, or similar tools.
  • Knowledge of Azure OpenAI, Azure AI Foundry, and Microsoft's AI platform stack.

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