15 days ago

Senior Software Engineer AI Engineering & Operations

Charles Schwab

On Site
Full Time
$150,000
Austin, TX
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Job Overview

Job TitleSenior Software Engineer AI Engineering & Operations
Job TypeFull Time
Offered Salary$150,000
LocationAustin, TX

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Job Description

About the Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as a part of our ongoing commitment to democratize access to investing and financial planning.

As part of Schwab's AI Engineering & Operations team, you will be building the next generation Generative AI solutions that shape the future of technology at Schwab. In this role, you will contribute to the development and deployment of AI products that are instrumental in driving data-informed business decisions and elevating client experiences. You’ll collaborate across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab’s innovation strategy and operational goals.

We are seeking a Senior Software Engineer who will develop and deliver production- grade GenAI applications, enhacing 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.

What You Will Do

  • Design, build, and deliver GenAI applications that elevate client experience and generate positive 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.
  • Solve 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.
  • Exhibit strategic vision, initiative, and adaptability while navigating complex situations and driving organizational alignment.

What You Have

Required Qualifications

To ensure that we fulfill our promise of “challenging the status quo,” this role has specific qualifications that successful candidates should have:

  • 8+ years of software development experience, with 4+ years as a hands-on senior engineer.
  • Bachelor’s degree in Computer Science or related field.
  • 5+ years building complex products from scratch, nurturing them in production, and ensuring operational reliability.
  • 3+ years developing applications and data pipelines interfacing with large datasets.
  • 5+ 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.
  • Commitment to quality—driving high standards including writing tests at all levels.
  • 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, Java, 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 also eligible for bonus or incentive opportunities.

Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

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

Key skills/competency

  • Senior Software Engineer
  • AI Engineering
  • Generative AI
  • Cloud-native applications
  • Data pipelines
  • Production systems
  • Infrastructure as code
  • Monitoring and observability
  • Software development
  • Mentoring

Tags:

Senior Software Engineer
AI Engineering
Generative AI
Cloud Computing
Data Engineering
Software Development
Production Operations
Infrastructure as Code
Python
Java

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How to Get Hired at Charles Schwab

  • Tailor your resume: Highlight your 8+ years of software development experience, including 4+ years as a senior engineer, and emphasize your 5+ years building and operating complex products in production.
  • Showcase AI/ML skills: Detail your experience with GenAI applications, data pipelines, containers, and cloud-native environments with infrastructure as code.
  • Quantify achievements: Provide examples of how you've driven business value and enhanced client experiences through AI solutions.
  • Demonstrate leadership: Mention any experience mentoring junior engineers and your commitment to operational excellence and continuous learning.
  • Prepare for interviews: Be ready to discuss your approach to complex technical challenges, system reliability, and strategic alignment with business goals.

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