Sr. AI Engineer

About the role

Schwab is hiring a Senior AI Engineer for its AI Strategy & Transformation team (AI.x) to design and deliver GenAI applications with strong reliability and operational excellence. The role focuses on enterprise AI, cross-functional collaboration, and production-ready systems that improve client experience and business impact.

Responsibilities

• Design, build, and deliver GenAI applications that elevate client experience and generate 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
• Mentor and coach junior engineers, fostering strong practices 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
• Work on Schwab’s central AI hub within the AI Strategy & Transformation team
• Set enterprise AI vision and accelerate delivery organization-wide
• Build the scalable core platform for AI and explore next-generation GenAI initiatives
• Solve complex problems with ambiguous or incomplete data in distributed systems
• Support technical growth through code reviews and guidance
• Share knowledge proactively and seek process improvement
• In-person teamwork on-site at the San Francisco office

Qualifications

• 8+ years of software development experience
• 4+ years as a hands-on senior engineer in startups and/or large organizations
• 5+ years building complex products from scratch, running them in production, and ensuring operational reliability
• 3+ years building applications leveraging AI models for measurable business impact
• 3+ years developing applications and data pipelines interfacing with large datasets
• 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code
• Bachelor’s degree in Computer Science or related field
• Master’s or advanced degree in Computer Science or related field

Skills

• LLM, Gen AI, Gemini, Claude, OpenAI
• AI, Python, containers, cloud-native applications
• Public cloud infrastructure as code, data pipelines, large datasets, distributed systems
• Monitoring, observability, incident response, tests, evaluations, code reviews
• Strong computer science fundamentals and experience across the tech stack
• Experience with proprietary or open-source LLMs and deploying LLM-powered applications to production
• Commitment to quality, driving high standards, and writing tests at all levels
• Strong written and verbal communication skills
• Mindset of continuous learning and improvement
• Demonstrated business domain knowledge relevant to previous products
• Curiosity about new technologies and processes
• Experience with Python and front-end development
• Ability to mentor junior engineers and support technical growth

Benefits

• Eligible for bonus or incentive opportunities
• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation, volunteering, and a 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