Senior Python Developer

Charles Schwab; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

401(k) match

Sabbatical after 5 years

Parental leave

Tuition reimbursement

Health/dental/vision insurance

Job summary

Schwab Technology Services (STS) at Charles Schwab is seeking a GenAI OS Application Developer to build and advance a Generative AI platform powering enterprise AI solutions. You will lead a team, define architecture, and deliver secure, observable cloud-native apps on Google Cloud with Docker containers.

You will collaborate with product owners, data scientists, and engineering partners to solve complex business challenges, driving scalable AI capabilities and strong software quality while

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• 8+ years of experience in software engineering, data science, or AI/ML.
• 5+ years of professional software development using Python as primary language.
• 3+ years of hands-on experience developing and deploying Generative AI applications, including LLM-based solutions, retrieval-augmented generation (RAG), prompt engineering, or GenAI platform capabilities.
• 3+ years of experience in technical leadership.
• Proven experience building and delivering production-grade cloud-native applications on Google Cloud Platform (GCP), including Cloud Run and containerized services using Docker.
• Experience designing and supporting data orchestration and pipeline solutions using Apache Airflow, Dataflow, or similar technologies.
• Experience developing microservices and RESTful APIs using frameworks such as FastAPI, Flask, or similar technologies.
• Experience working with ReactJS and integrating front-end applications with backend services and APIs.
• Strong understanding of SQL, data modeling, and relational and/or NoSQL database technologies.
• Demonstrated experience leading Agile delivery practices, including sprint planning, backlog management, release planning, prioritization, and daily team coordination.
• Experience driving engineering excellence through code reviews, test-driven development, CI/CD pipelines, and modern software development practices.
• Strong communication, stakeholder management, collaboration, and leadership skills with the ability to influence technical and business decisions across cross-functional teams.

Responsibilities

• Lead the design and development of production-grade Generative AI applications powering the GenAI OS across Schwab.
• Shape architecture, development standards, and technical direction for the AI platform.
• Guide engineering teams through planning, execution, and delivery with an agile mindset.
• Collaborate with product owners, data scientists, analytics, and tech partners to deliver scalable cloud-native solutions.

Skills

Python

GenAI/LLM apps

Cloud-native architectures

Agile delivery leadership

REST APIs

ReactJS integration

Data modeling

SQL/NoSQL

Code reviews / testing / CI/CD

Stakeholder communication

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field

Master’s degree in Computer Science, AI, or related field

Tools

Docker

FastAPI

Flask

ReactJS

GCP Cloud Run

Airflow/Dataflow

LangChain/Hugging Face

Terraform / IaC

CI/CD tooling

Job description

Your 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 (STS) enables the future of how clients manage their money by delivering innovative and reliable technology solutions that support investing and financial planning. As GenAI OS Application Developer, you will play a pivotal role in building and advancing Schwab’s Generative AI Operating System (GenAI OS), a cloud-first platform powering intelligent, trusted, and scalable AI-driven solutions across the enterprise.

In this role, you will combine hands‑on software engineering expertise with technical leadership to deliver production‑grade Generative AI applications that drive business value. You will help shape the architecture, development standards, and technical direction of our AI platform while leading a team of engineers through the full software development lifecycle. Working closely with product owners, data scientists, analytics professionals, and technology partners, you will solve complex business challenges by developing scalable cloud‑native applications, integrating advanced AI capabilities, and delivering secure, reliable, and observable solutions.

You will serve as a key technical leader and agile delivery partner, guiding engineering teams through planning, prioritization, and execution while fostering a culture of innovation, collaboration, accountability, and continuous improvement. This is an exciting opportunity to influence enterprise AI strategy, modernize development practices, and build solutions that help transform how Schwab leverages Generative AI across the organization.

What you have

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
• 8+ years of experience in software engineering, data science, or AI/ML.
• 5+ years of professional software development experience using Python as a primary programming language.
• 3+ years of hands‑on experience developing and deploying Generative AI applications, including LLM-based solutions, retrieval‑augmented generation (RAG), prompt engineering, or GenAI platform capabilities.
• 3+ years of experience in technical leadership.
• Proven experience building and delivering production‑grade cloud‑native applications on Google Cloud Platform (GCP), including Cloud Run and containerized services using Docker.
• Experience designing and supporting data orchestration and pipeline solutions using Apache Airflow, Dataflow, or similar technologies.
• Experience developing microservices and RESTful APIs using frameworks such as FastAPI, Flask, or similar technologies.
• Experience working with ReactJS and integrating front‑end applications with backend services and APIs.
• Strong understanding of SQL, data modeling, and relational and/or NoSQL database technologies.
• Demonstrated experience leading Agile delivery practices, including sprint planning, backlog management, release planning, prioritization, and daily team coordination.
• Experience driving engineering excellence through code reviews, test‑driven development, CI/CD pipelines, and modern software development practices.
• Strong communication, stakeholder management, collaboration, and leadership skills with the ability to influence technical and business decisions across cross‑functional teams.

Preferred Qualifications

• Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
• Experience applying AI, machine learning, or Generative AI solutions within financial services or other highly regulated industries.
• Deep knowledge of large language models, transformer architectures, and frameworks such as LangChain, Hugging Face, or similar technologies.
• Experience with vector databases, embeddings, RAG architectures, and AI evaluation or observability frameworks.
• Familiarity with machine learning frameworks such as PyTorch and TensorFlow, along with MLOps practices and deployment tooling.
• Experience with Infrastructure as Code (IaC), Terraform, DevOps practices, GitHub, and CI/CD automation.
• Knowledge of security, identity and access management (IAM), and compliance considerations in cloud‑based environments.
• Experience designing and implementing scalable microservices architectures and object-oriented software solutions.
• Experience building monitoring, observability, and reliability frameworks for enterprise‑scale applications.
• Demonstrated success building, mentoring, and growing high‑performing engineering teams.

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