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At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning. As part of Schwab's AI Engineering & Operations team, you will be building the next generation Generative AI solutions that shape the future of technology at Schwab. In this role, you will contribute to the development and deployment of AI products that are instrumental in driving data-informed business decisions and elevating client experiences. You’ll collaborate across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab’s innovation strategy and operational goals. We’re seeking a Senior AI Engineer who will design and deliver production-grade GenAI applications, enhancing the client journey and driving tangible business value. You’ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab’s strategic goals, and mentor junior team members—cultivating best engineering practices and a culture of continuous learning. In this pivotal role, you’ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on reliability, monitoring, observability, and orchestration across products. Your work will be critical in maintaining high-performance, production-grade AI solutions that support decision-making and deliver consistent value.
Job Responsibility
Design, build, and optimize Generative AI applications that drive measurable business impact and enhance client experiences
Lead the development of robust data pipelines and prompt engineering workflows, enabling efficient model iteration and performance tuning
Champion best practices in reliability, monitoring, and observability across AI systems, ensuring scalable and actionable reporting
Implement a framework designed to manage unstructured data at an enterprise scale
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards
Mentor and coach junior engineers, fostering strong practices and continuous learning
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment
Design and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability
Advance engineering standards, focusing on operational excellence, modular reusability, and quality across all deliverables
Requirements
8+ years of data engineering experience, including 4+ years as a hands-on senior engineer
4+ years of experience developing scalable workflows and data pipelines that support large, complex datasets
3+ years of experience designing and implementing solutions using Artificial Intelligence technologies such as natural language processing, large language models, or machine learning
2+ years of hands-on experience with containers and cloud-native platforms
Bachelor’s degree in Computer Science, Data Engineering, Mathematics, Analytics, or a related field
Nice to have
Strong foundation in data engineering across multiple layers of the technology stack
Experience building and maintaining reliable, observable, and highly available systems in production environments
Ability to solve complex problems involving distributed systems and incomplete or ambiguous data
Demonstrated commitment to engineering quality, including testing and code reliability practices
Experience mentoring engineers and supporting technical skill development through coaching and feedback
Strong written and verbal communication skills with the ability to convey complex ideas clearly
Curiosity and a continuous improvement mindset, including proactively exploring and sharing new technologies and approaches
Experience working with Python
Demonstrated business domain knowledge related to previous products or AI-driven solutions
Master’s or advanced degree in Computer Science, Data Engineering, Mathematics, Analytics, or a related field
What we offer
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
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment