AI Researcher, AI.x

About the role

As an AI Researcher within Schwab’s AI Strategy & Transformation (AI.x) organization, you’ll operate at the intersection of advanced applied research and production-grade AI systems that support millions of investors, advisors, and employees.

Responsibilities

• Take ideas from early problem formulation through modeling, evaluation, deployment, and iteration, contributing directly to LLM and Agentic-based systems used across the enterprise.
• Design and operate large-language-model-based and agent-driven systems.
• Establish robust evaluation and monitoring practices.
• Improve performance under real-world constraints.
• Collaborate closely with platform engineers, product partners, and risk stakeholders to ensure solutions are accurate, observable, safe, and reliable in a regulated financial services environment.

Requirements

• Master’s degree or higher in Computer Science, Machine Learning, Mathematics, Physics, or a related field, or equivalent practical experience.
• 7+ years of experience building, deploying, and operating machine learning or AI systems using Python in production environments.
• Demonstrated experience delivering GenAI or LLM-powered applications that are actively used by clients or internal teams.
• Strong grounding in data analysis (Python, SQL, Pandas), experimentation, and evaluation, with the ability to assess model quality, reliability, and trade-offs under real constraints.
• Experience working cross-functionally with engineering, product, and other stakeholders to move complex technical work from concept to production.

Preferred Qualifications

• Experience designing or operating agentic-based or orchestrated AI systems, including tool-enabled or multi-step workflows.
• Familiarity with AI evaluation, monitoring, or reliability practices that support long-running production systems.
• Experience operating AI solutions in regulated, high-stakes, or risk-sensitive environments.
• Technical leadership or mentoring experience, including influencing standards, patterns, or best practices across teams.

Benefits

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.