Salary: USD $135,000 - $170,000 / Year

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.

As a Senior Software Development Engineer in the Conversational AI team, you will play a key role in designing, developing, and implementing next-generation experiences for our clients through Schwab's virtual assistant.

You will work as part of team that works closely with our Product, Data Science, UX Design, Architecture, fellow Engineers, and various stakeholders and partners to deliver innovative solutions that enhance the customer journey at a world class financial institution.

• Bachelor's degree in computer science or engineering from an accredited university
• 8+ years of Java software development and engineering experience
• 8+ years in RESTful API design, development, and integration with ability to demonstrate expert level knowledge.
• 6+ years experience in Java SpringBoot and microservices architecture with ability to demonstrate advanced level knowledge.
• 1-3+ year of experience in Google Dialogflow or similar Conversational AI tools (DialogFlow CX, DialogFlow ES, Amazon Lex, Kore.ai, Amelia, Rasa, Azure AI Bot Framework, IBM Watson Assistant, yellow.ai) for creating intent-driven conversational experiences.
• Ability to document and manage technical risks and dependencies across multiple teams and systems.
• Familiarity with agile development methodologies, with experience contributing to sprint planning and backlog refinement.

• Prior experience developing conversational AI or chatbot solutions in the financial industry.
• Hands-on development in GCP environments.
• Develop and implement client-facing virtual assistant solutions using Dialogflow, Natural Language Processing (NLP) and Java SpringBoot, ensuring seamless intent recognition and action-driven interactions.
• Demonstrated ability to work with modern DevOps tools and CI/CD practices in cloud environments (e.g., GitHub, Bamboo, GCP terraform, Cloud Run, Harbor).
• Expertise in scaling applications, monitoring, and optimizing performance in cloud environments.
• Demonstrate deep expertise in software development and engineering principles, leveraging domain knowledge to drive the evolution of our conversational AI platform and its integration into our web and mobile experiences.
• Led the design and development of microservices that integrate with various backend systems on Google Cloud Platform (GCP).
• Collaborating with cross-functional teams to align on technical strategies that deliver exceptional client experiences.
• Communicating effectively with stakeholders to ensure clarity in project objectives, technical solutions, and expected outcomes.
• Ensure compliance with financial services industry and organization-specific standards to deliver secure, scalable, and compliant solutions.
• Led agile development processes (Scrum / SAFe) to iterate quickly on new features, ensuring high performance, reliability, and scalability.
• Expertise in RESTful services, API integrations, and data exchange between systems to enable real-time interactions between the virtual assistant and backend systems.
• Proactive in adopting and contributing to best practices in development, code reviews, and continuous integration and deployment (CI/CD) pipelines on GCP.
• Financial services/brokerage industry experience.

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
• Paid parental leave and family building benefits
• Tuition reimbursement
• Health, dental, and vision insurance