Sr. AI Engineer, AI.x

sign and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You'll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab's strategic goals, and mentor junior team members-cultivating best engineering practices and a culture of continuous learning.

In this pivotal role, you'll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You'll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.

• 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.

What you have

Required Qualifications

• 8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.

• Bachelor's degree in Computer Science or related field.

• 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.

Preferred Qualifications

• Strong computer science fundamentals and experience across the tech stack.

• Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.

• Commitment to quality-driving high standards and writing tests at all levels.

• Experience writing and running evaluations for quality and consistency in LLM-generated output.

• Strong written and verbal communication skills to clearly convey ideas and feedback.

• Mentoring junior engineers and supporting their technical growth through code reviews and guidance.

• 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 and front-end development preferred but not required.

• Master's or advanced degree in Computer Science or related field.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

What's in it for you

At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you - both today and in the future:

• 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