Sr Specialist, AI Software Engineering - BPM Technology

Your opportunity

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.

Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.

Key Responsibilities

• 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.
• 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.
• 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 concerns 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.

What you have

Required Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5–7 years of software development experience.
• Solid foundation in computer science fundamentals, including.
• Algorithms and data structures.
• Object-oriented programming and common design patterns.
• Basic system design.
• Databases and networking.
• Concurrency fundamentals.
• Testing and CI/CD.
• Secure coding principles.
• Hands-on experience using GenAI coding tools (GitHub Copilot, Cursor, or similar) in day-to-day development.
• Proficiency in Java or .NET.
• Ability to critically review AI-generated code for bugs, security issues, and code quality.
• Exposure to agentic workflows and spec-driven development concepts, with the ability to translate basic design artifacts into AI-ready task specifications.
• Practical experience with prompt engineering and authoring custom instructions to improve AI-assisted development outcomes.
• Independently applies application maintenance practices and collaborates to ensure continuous support.
• Tracks data pipelines and stores…