Senior AI Engineer Jobs

Senior AI Engineer

Charles Schwab

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

211600.00 - 317400.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

Requirements:

8+ years of software development experience
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

Nice to have:

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

What we offer:

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

Additional Information:

Job Posted:
December 24, 2025

Expiration:
January 20, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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