Associate - AI Engineer

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 is at the forefront of delivering innovative, reliable technology solutions that transform how clients manage their financial futures. Within this environment, the BPMT Departmental Pega One (DPO) platform plays a critical role in modernizing enterprise workflows, enabling scalable, secure, and efficient processing across key business functions such as account maintenance, retirement services, and asset servicing.

As an Associate Software Engineer, you will contribute to the modernization of business-critical applications through full stack development, helping drive operational efficiency and improve user experiences. You will partner closely with engineers, product owners, and cross-functional stakeholders in an Agile environment to deliver high-quality, scalable solutions. This role emphasizes hands-on problem solving, where you will analyze workflows, build enhancements, and troubleshoot technical issues to ensure reliable system performance.

You will also play an active role in advancing engineering excellence by participating in code reviews, leveraging AI-assisted development tools such as GitHub Copilot, and contributing to test automation and continuous improvement efforts. This position offers strong opportunities to build foundational engineering expertise while developing adaptability, collaboration, and innovation skills that directly impact business outcomes.

• →Design, build, test, and maintain software applications across the full stack under the guidance of senior engineers.
• →Use GenAI tools (for example, GitHub Copilot, Cursor, Claude Code) to accelerate coding, debugging, and documentation.
• →Take full ownership of all code changes, including those generated with AI tools.
• →Review, test, and thoroughly understand every change before it is merged and released to production.
• →Write clean, maintainable, and well-structured code with or without AI assistance.AI-Assisted Workflows
• →Create clear prompts, task definitions, and acceptance criteria to effectively direct AI agents on your own work.
• →Apply spec-driven development practices to translate requirements into structured, AI-ready specifications.
• →Contribute to AI agent development by helping define agent goals, tool use, and simple task flows under the guidance of senior engineers.
• →Review and validate AI-generated code for correctness, quality, security, and maintainability.
• →Apply judgment to accept, modify, or reject AI suggestions based on context and team standards.Testing and Quality
• →Generate and improve unit, integration, and regression tests using AI-assisted tools.
• →Ensure test coverage meets team standards before code is merged.
• →Identify and address security, performance, and reliability concern early in the development cycle.

• Assist in refactoring and modernizing existing codebases using AI-assisted workflows to improve readability, maintainability, and performance.
• Help identify technical debt and contribute to AI-accelerated remediation efforts under senior guidance.

• Participate in architecture discussions, design reviews, and code reviews to learn and contribute to technical direction and quality standards.
• Help maintain custom instructions and prompt engineering guidelines that support consistent, effective AI-assisted development across the team.
• Continuously improve your AI-enabled engineering practices and share learnings, patterns, and tooling insights with peers.

• Bachelor’s degree in computer science or a related field
• 0–1+ years of software development experience, including internships or academic projects
• Foundational knowledge of Agile methodologies and software development lifecycle (SDLC) practices
• Proficiency in object-oriented programming languages such as Java, C++, or C#
• Basic understanding of web application development using technologies such as Node.js, Angular, or React, and familiarity with SQL or NoSQL databases
• Exposure to REST or SOAP-based APIs
• Familiarity with version control systems and development tools such as GitHub and IntelliJ
• Strong problem-solving, debugging, and troubleshooting skills with the ability to analyze and resolve technical issues
• Demonstrated ability to collaborate effectively in team-based environments with strong communication and organizational skills
• Self-motivated with a proactive approach to learning, innovation, and continuous improvement
• Comfort working in a fast-paced, customer-focused environment that embraces evolving technologies
• AI-ready mindset with enthusiasm for leveraging AI-powered development tools to enhance productivity, code quality, and delivery outcomes

• Experience supporting and developing applications using full stack development skills
• Exposure to building or extending AI agents using frameworks such as LangChain, Copilot Workspace, AutoGen, CrewAI, or similar.
• Experience with at least one cloud platform (GCP, AWS, or Azure).
• Familiarity with secure coding practices.
• Exposure to CI/CD pipelines and DevOps tools such as GitHub Actions
• Familiarity with test automation frameworks and practices such as test-driven development
• Experience contributing to software design documentation, technical artifacts, and code review processes
• Knowledge of Pega platform or business process management tools
• Exposure to cloud technologies and modern application architectures
• Ability to identify risks and dependencies and contribute to mitigation planning within development projects