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# Sr. Software Engineer - AI Solutions Engineering

- **Company:** Charles Schwab Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Applications Architecture, Application Integration Architecture, Automation of Tests, Software Quality, Data Cleansing, Information Engineering, Data Integrity, Software Debugging, DevOps, Distributed Systems, Data Flow Control, Cloud Services, AI-enabled Products, Software Engineering, Systems Integration, Test Data, Data Processing, Google Cloud, Enterprise Software Applications, Cloud Platform System, Generative AI, Containerization, AI Platforms, Information Technology, Data Management, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.austinjobsite.com/job.asp?id=3466692189&tx=JK10599LFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in computer science, data engineering, engineering, mathematics, analytics, or a related field, or equivalent work experience.
 * 8+ years of software engineering, data engineering, or related experience, including delivering enterprise-scale solutions.
 * Advanced Python development experience focused on data processing, system integrations, and pipeline development.
 * Experience designing, developing, and supporting trading applications in cloud environments.
 * Hands-on experience with Google Cloud Platform services such as Cloud Run, Google Cloud Storage, Dataflow, or comparable cloud-native technologies.
 * Experience integrating APIs, distributed systems, and enterprise applications.
 * Demonstrated Data Accuracy Management skills, including implementing validation, quality controls, and practices that protect data integrity throughout its lifecycle.
 * Strong Problem Solving and Technical Troubleshooting skills, including debugging complex production issues, conducting root cause analysis, and implementing corrective actions.
 * Experience developing automated testing strategies, creating test data, validating outputs, and using modern source-control practices., * Experience integrating Generative AI and large language model capabilities into enterprise applications.
 * Experience working with vendor-provided AI platforms and cloud-based AI services.
 * Understanding of AI application architecture, including data preparation, testing, deployment, monitoring, and operational support.
 * Experience developing scalable data platforms that support AI-enabled products and services.
 * Demonstrated Cloud Services Management and DevOps skills used to build observable, resilient, and highly available production systems.
 * Strong Cross-Functional Collaboration skills, with the ability to align technical solutions with business and client outcomes.
 * Demonstrated Adaptability when managing changing priorities, emerging technologies, and interconnected systems.
 * Experience Developing Others through mentoring, knowledge sharing, and the promotion of software quality and engineering best practices.