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Charles Schwab Logo

AI Researcher, Azure & Copilot

Charles Schwab

Salary not specified
Dec 24, 2025
San Francisco, CA, US
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At Schwab, the business problem is to transform the financial industry and put clients at the center of everything they do by leveraging Artificial Intelligence (AI) and building a core platform that powers AI at scale.

Requirements

  • Advanced expertise in Azure AI Foundry, Copilot and the full Microsoft AI ecosystem
  • 7+ years of experience in AI / ML research and development using Python
  • 7+ years of experience building data pipelines and data analyses that interface with large datasets
  • 3 + years of experience using AI models to deliver business value
  • Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and data visualization using Python
  • Experience working with LLMs and shipping LLM-powered applications to production
  • Experience working with and mentoring engineers, through presentations, clear feedback and code reviews

Responsibilities

  • Design, investigate, and develop novel AI models and algorithms in the Microsoft Azure and Copilot ecosystem
  • Develop AI agents and create quantitative measures of the effectiveness of AI solutions
  • Work closely with architects, engineers, and business leaders to align research efforts with Schwab’s enterprise strategy
  • Help build strong scientific practices and foster a culture of continuous learning
  • Lead by example in tackling complex technical challenges, advancing research standards, and driving rapid experimentation from concept to application
  • Bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab
  • Advance cutting-edge AI research and develop innovative solutions

Other

  • A master’s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry
  • Ability to work across teams and functions, collaborating effectively to deliver business value
  • Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team
  • Ability to solve complex problems with ambiguous or incomplete data
  • Demonstrated mindset of continuous learning and improvement