Senior AI Engineer, AI.x

Charles Schwab Corporation; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Charles Schwab Corporation in San Francisco is seeking a Senior AI Engineer to design and deliver GenAI applications that elevate the client journey and drive measurable business value. You’ll collaborate with architects, engineers, and business leaders to align solutions with Schwab’s strategic goals and mentor junior team members.

You will lead rapid iterations from concept to production, implement monitoring and observability for AI systems, and uphold operational excellence to ensure high

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.

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.

Skills

Software development

AI/GenAI

Python

Cloud-native

Data pipelines

LLMs

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

Tools

Python

OpenAI

Gemini

Claude

Kubernetes

Job description

Your Opportunity

At Schwab, your career is more than a job—it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.

As part of Schwab’s AI Strategy & Transformation team (AI.x), you’ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.

We’re seeking a Senior AI Engineer who will design 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.