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.

Join us as we lead the most significant technical transformation in retirement services—architecting AI-native systems using Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) to modernize legacy applications through Domain-Driven Design. You’ll work at the intersection of cutting-edge AI technology and complex financial domains, building intelligent systems that directly impact millions of people’s retirement security. With executive-level support, substantial budget, and technical freedom, you’ll pioneer RAG architecture and multi-agent orchestration in a highly regulated, mission-critical environment.

This is your chance to establish yourself as an industry-leading expert in AI-driven legacy transformation, defining patterns that will become case studies for years to come. We thrive together as One Schwab, guided by respect and care for all. Our inclusive, collaborative, and positive environment values and supports every team member, empowering you to make a real impact.

What you have

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

Required Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience7+ years of professional software engineering experience3+ years in technical leadership or architect role3+ years of hands-on experience building and deploying solutions in public cloud environments (GCP, AWS, Azure).2+ years hands-on experience with AI/ML implementation and production deploymentExperience with legacy application modernization and migration projectsHands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)Production implementation of RAG architecturesExperience with Model Context Protocol (MCP) or AI agent orchestration frameworksExperience with vector databases (Pinecone, Weaviate, Chroma, or Vertex AI Vector Search)Prompt engineering and LLM optimization techniquesExperience with Vertex AI platform on Google Cloud Platform or Bedrock platform on AWSProficiency in Python (AI/ML development), .NET (enterprise services), and SQL (database design)Experience with event streaming platforms (Kafka, Pub/Sub, or similar)Proven ability to lead technical teams and mentor engineersExcellent communication skills—proven ability to explain complex technical concepts to non-technical stakeholdersExperience collaborating with product managers, data scientists, and business stakeholdersProblem-solving mindset with a focus on business outcomes

Preferred Qualifications

Master’s degree in Computer Science, AI/ML, or related field10+ years of professional software engineering experience2+ years’ experience implementing RAG architectures using frameworks like LangChain, LlamaIndex, or HaystackFinancial services or highly regulated industry experienceExperience in retirement services, wealth management, or FinTechML Ops and model lifecycle managementMulti-cloud experience (AWS/Azure in addition to GCP)Advanced GKE and service meshCloud Build and advanced CI/CD pipelinesIAM and Secret Manager best practicesJavaScript/TypeScript for full-stack contextFamiliarity with Delphi, .NET, C#Event Sourcing and CQRS patternsDatabase design and optimization (relational and NoSQL)Saga patterns for distributed transactionsService mesh and API Gateway patternsA/B testing frameworks and experimentation platformsExperience working in Agile/Scrum environments at scaleTrack record of driving consensus in cross-functional teamsPublic speaking or technical writing experience (blogs, conferences, patents)Contributions to open-source AI/ML projectsKnowledge of retirement services (401k, IRA, RMDs, rollovers)Familiarity with fiduciary responsibilities in financial technologyExperience building systems with audit trails and explainability requirementsUnderstanding of tax implications in retirement planningGoogle Cloud Professional Machine Learning Engineer, Cloud Architect, AWS/Azure Solutions Architect certifications
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 planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positionsPaid parental leave and family building benefitsTuition reimbursementHealth, dental, and vision insurance Apply Save job