Senior Software Development Engineer- AI Engineering & Operations

Your opportunity

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  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 Software Development 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.

You will build and support the data pipelines, integrations, and cloud infrastructure that enable AI-powered solutions. Working with existing vendor-provided AI technologies and Large Language Models (LLMs). Focusing on connecting systems, managing data flows, ensuring data quality, and supporting reliable AI operations.

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.

Responsibilities include:

• Design, build, and maintain scalable data pipelines using Python that support AI-enabled business solutions and enterprise data workflows.
• Develop and optimize ETL processes to ensure reliable movement, transformation, and validation of data across systems.
• Leverage Google Cloud Platform (GCP) technologies including Cloud Run, Google Cloud Storage (GCS), and Dataflow to build and support production-ready data solutions.
• Integrate AI and Large Language Model (LLM) capabilities within enterprise applications by connecting vendor-provided AI services and ensuring reliable data flow between systems.
• Build and maintain solutions that manage data ingestion, transformation, validation, and delivery to downstream applications and AI services.
• Ensure data integrity across pipelines by implementing validation checks, monitoring, and quality controls throughout the data lifecycle.
• Design and maintain monitoring, logging, alerting, and troubleshooting capabilities to support highly available production systems.
• Collaborate with architects, engineers, data scientists, and business stakeholders to deliver scalable and secure AI-enabled solutions.
• Champion engineering best practices including code versioning, automated testing, documentation, and operational excellence.
• Troubleshoot production issues, perform root cause analysis, and implement corrective actions to improve system reliability and performance.
• Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence.

To ensure that we fulfill our promise of “challenging the status quo,” this role has specific qualifications that successful candidates should have:

• 8+ years of software engineering, data engineering, or related experience,…