Job description

Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Engineer on AI.x, you will play an important role in bringing these priorities to life by designing and delivering innovative AI solutions. This role is more than an engineering position. It is an opportunity to join a high-profile team shaping Schwab’s future with AI, to build solutions that matter to millions of clients, and to grow your career in one of the most exciting areas of technology today. As an AI Engineer, you will contribute to the design, development, and delivery of GenAI applications that enhance client experience and create business value. You will collaborate with architects, engineers, and business leaders to ensure solutions align with Schwab’s enterprise strategy. You will have the opportunity to learn from senior engineers, participate in technical discussions, and help to build strong engineering practices while fostering a culture of continuous learning. You will work on solving complex technical challenges, support best engineering standards, and help drive iterations from concept to production. Above all, you will bring curiosity, creativity, and technical skill to help shape the next generation of AI at Schwab. What you have Required Qualifications • 5+ years of software development experience and 3+ years as a hands-on engineer in startups and/or large organizations. • Bachelor's degree in Computer Science or related field. • 3+ years of experience building complex products from scratch and supporting them in production environments. • 1+ years of experience developing applications that use Artificial Intelligence (AI) models to deliver business impact. • 2+ years of experience working with applications or data pipelines that interface with large datasets. • 2+ years of experience with containers and cloud-native applications, with exposure to deploying them in the public cloud using infrastructure as code. Preferred Qualifications • Robust computer science fundamentals and experience working across different parts of the tech stack. • Exposure to proprietary or open-source LLMs (Gemini, Claude, OpenAI or other models) and contributing to LLM-powered applications. • Commitment to quality in your work, with experience writing and maintaining tests. • Experience evaluating and monitoring LLM-generated outputs for quality and consistency. • Strong communication skills – able to clearly share your perspective with others on the team, both verbally and in writing. • Interest in mentoring peers and learning from senior engineers through feedback and code reviews. • Demonstrated commitment to continuous learning and improvement. • Ability to address complex problems, even with ambiguous or incomplete data, within distributed systems. • Broad business domain knowledge related to the products you've contributed to. • Curiosity about new technologies and processes – you seek to grow your skills and share knowledge with team members. • Experience with Python and front-end development is preferred but not required. • Master’s or advanced degrees in Computer Science or related fields are a plus. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: • 401(k) with company match and Employee stock purchase plan • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions • Paid parental leave and family building benefits • Tuition reimbursement • Health, dental, and vision insurance

Requirements

Must-haves

Your opportunity
What you have
5+ years of software development experience and 3+ years as a hands-on engineer in startups and/or large organizations.
Bachelor's degree in Computer Science or related field.
3+ years of experience building complex products from scratch and supporting them in production environments.
1+ years of experience developing applications that use Artificial Intelligence (AI) models to deliver business impact.
2+ years of experience working with applications or data pipelines that interface with large datasets.
2+ years of experience with containers and cloud-native applications, with exposure to deploying them in the public cloud using infrastructure as code.
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions

Nice-to-haves

Robust computer science fundamentals and experience working across different parts of the tech stack.
Exposure to proprietary or open-source LLMs (Gemini, Claude, OpenAI or other models) and contributing to LLM-powered applications.
Commitment to quality in your work, with experience writing and maintaining tests.
Experience evaluating and monitoring LLM-generated outputs for quality and consistency.
Strong communication skills – able to clearly share your perspective with others on the team, both verbally and in writing.
Interest in mentoring peers and learning from senior engineers through feedback and code reviews.
Demonstrated commitment to continuous learning and improvement.
Ability to address complex problems, even with ambiguous or incomplete data, within distributed systems.
Broad business domain knowledge related to the products you've contributed to.
Curiosity about new technologies and processes – you seek to grow your skills and share knowledge with team members.
Experience with Python and front-end development is preferred but not required.
Master’s or advanced degrees in Computer Science or related fields are a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave