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As part of Schwab's AI Engineering & Operations team, you will be building the next generation Generative AI solutions that shape the future of technology at Schwab. In this role, you will contribute to the development and deployment of AI products that are instrumental in driving data-informed business decisions and elevating client experiences. You’ll collaborate across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab’s innovation strategy and operational goals.
Job Responsibility:
Design, build, and deliver GenAI applications that elevate client experience and generate positive business impact
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards
Provide leadership by mentoring and coaching junior engineers, fostering strong practices, accountability, and continuous learning
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability
Advance engineering standards, focusing on operational excellence and quality across all deliverables
Exhibit strategic vision, initiative, and adaptability while navigating complex situations and driving organizational alignment
Requirements:
10+ years of software development experience, with 4+ years as a hands-on senior engineer
5+ years building complex products from scratch, nurturing them in production, and ensuring operational reliability
3+ years developing applications and data pipelines interfacing with large datasets
5+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code
Demonstrated ability to influence and execute through others, deliver balanced and actionable feedback, and manage multiple priorities
Bachelor’s degree in Computer Science or related field
Nice to have:
Strong computer science fundamentals and experience across the tech stack
Commitment to quality – driving high standards including writing tests at all levels
Strong written and verbal communication skills to clearly convey ideas and feedback
Strong emotional intelligence, maturity, and executive presence, inspiring confidence and creating followership at all organizational levels
Mentoring junior engineers and supporting their technical growth through code reviews and guidance
Highly detail-oriented and process-focused with a mindset of continuous learning and improvement
Ability to solve complex problems with ambiguous or incomplete data in distributed systems
Demonstrated business domain knowledge relevant to previous products
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement
Experience with Python, Java, and front-end development preferred but not required
Master’s or advanced degree in Computer Science or related field
What we offer:
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