Sr. AI Engineer

About the role

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Sr. AI Engineer

Schwab

San Francisco / CA

8+ years

Today

$222.9K–284.3K/yr

Full-time

Onsite

Skills Required

LLM

Gen AI

Gemini

Claude

OpenAI

AI

Python

containers

cloud-native applications

public cloud

infrastructure as code

data pipelines

large datasets

distributed systems

monitoring

Description

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.

Company: Schwab

Role: Sr. AI Engineer, AI.x

Location: San Francisco, CA

Experience

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

Qualification

Bachelor’s degree in Computer Science or related field

Master’s or advanced degree in Computer Science or related field

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

Additional Responsibilities

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

Hybrid Work and Flexibility approach with regular in-person collaboration

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

Nice To Have

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

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

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

More Skills

AI models, front-end development, alerting, observability, incident response, tests, evaluations, code reviews, computer science fundamentals

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