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# AI Developer - Financial Crimes AI & Automation

- **Company:** Charles Schwab Inc.
- **Location:** Austin, TX, United States (Remote available)
- **Salary:** $150,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, C Sharp (Programming Language), Information Engineering, Data Structures, Python (Programming Language), Log Analysis, Software Engineering, Systems Integration, Data Processing, Enterprise Software Applications, Microsoft Power Automate, Power Platform Integration, Agentic-AI, Microsoft Copilot Studio, Information Technology, Workday, Programming Languages
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=35b8fac7ae016a3a

## About the Role

Location & Work Arrangement: This hybrid role requires four days per week in the office and one remote workday. Candidates must live in, or be willing to relocate on their own to one the listed locations.

Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship., * 3+ years of professional software development, application development, automation engineering, or related experience, including at least 1 year of hands-on experience developing solutions with Microsoft Power Platform or Microsoft Copilot Studio.

 * Hands-on experience developing AI agents, automated workflows, or AI-enabled applications using Microsoft Power Platform.
 * Experience developing advanced solutions in Microsoft Copilot Studio, including custom agents, plugins, actions, or orchestration patterns.
 * Experience with Power Automate and Dataverse, including data models, tables, security structures, and integrations, as well as custom connectors or related Microsoft development capabilities.
 * Software development or computer science foundation with the ability to write, review, troubleshoot, and improve code.
 * Experience translating business requirements into scalable solution architectures and production-ready designs.
 * Experience integrating applications or workflows with APIs, connectors, approved data sources, or enterprise systems.
 * Experience owning solutions through design, development, testing, documentation, deployment, monitoring, and production support.
 * Experience troubleshooting production solutions through log analysis, issue remediation, and operational support.
 * Ability to collaborate across business, technology, and control teams and communicate technical decisions clearly.

Preferred qualifications

 * Experience delivering AI, automation, internal application, or case-management solutions in a production environment.
 * Proficiency with Python, C#, or another modern programming language used for AI, automation, integration, or data engineering.
 * Experience designing solutions that incorporate controls, traceability, testing, human review, and responsible handling of sensitive data.
 * Experience in financial services, financial crimes, fraud, anti-money laundering, risk, compliance, or another regulated environment. Demonstrated adaptability and learning agility when
 * ing emerging AI tools and development approaches.

## Description

* Design and develop AI agents, automated workflows, and AI-enabled applications using Microsoft Power Platform, Microsoft Copilot Studio, Power Automate, Dataverse, and related development capabilities.
 * Translate business, process, risk, and control requirements into scalable solution architectures and production-ready technical designs.
 * Build custom agents, plugins, actions, orchestration patterns, custom connectors, integrations, and data structures that support reliable end-to-end solutions.
 * Integrate applications and workflows with APIs, approved data sources, connectors, and enterprise systems.
 * Write, review, troubleshoot, and improve code supporting AI, automation, integration, and data-processing solutions.
 * Own solutions throughout design, development, testing, documentation, deployment, monitoring, production support, and continuous improvement.
 * Evaluate solution quality, edge cases, traceability, human-review needs, security considerations, and responsible handling of sensitive data.
 * Monitor production performance, analyze logs, resolve incidents, remediate defects, and maintain operational stability.
 * Communicate technical decisions clearly and collaborate across business, technology, and control teams.
 * Explore emerging AI capabilities and recommend practical approaches that can improve adoption, effectiveness, and scalability.