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Charles Schwab · 1 day ago

Sr AI Engineer

Austin, TX

Full-time

Hybrid

Senior Level, Lead/Staff

8+ years exp

Charles Schwab is dedicated to transforming the finance industry through innovative technology solutions. The Sr AI Engineer will be responsible for building next-generation Generative AI solutions, contributing to the development and deployment of AI products that enhance client experiences and drive data-informed decision-making.

Financial Services

No H1B

Responsibilities

Building the next generation Generative AI solutions that shape the future of technology at Schwab

Contributing to the development and deployment of AI products that are instrumental in driving data-informed business decisions and elevating client experiences

Collaborating across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab’s innovation strategy and operational goals

Qualification

Data engineering experienceAI solutions designNLPLLMsCloud-native platformsPythonMentoring junior engineersCommunication skillsProblem-solving mindsetContinuous learning

Required

8+ years of data engineering experience, with 4+ years as a hands-on senior engineer

4+ years developing scalable workflows and data pipelines that interface with large and complex datasets

3+ years designing and implementing solutions utilizing Artificial Intelligence components such as NLP, LLMs, or machine learning techniques

Bachelor's degree in Computer Science, Data Engineering, Mathematics, Analytics, or related field

2+ years working hands-on with containers and cloud-native platforms

Preferred

Strong data engineering fundamentals and experience across the tech stack. Commitment to quality—driving high standards including writing tests at all levels

Strong written and verbal communication skills to clearly convey ideas and feedback

Mentoring junior engineers and supporting their technical growth through code reviews and guidance

Mindset of continuous learning and improvement

Ability to solve complex problems with ambiguous or incomplete data in distributed systems

Demonstrated business domain knowledge relevant to previous products. Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement

Experience with Python preferred but not required

Master's or advanced degree in Computer Science, Data Engineering, Mathematics, Analytics, or related field