Lead Software Engineer - AI & Platform Modernization

Charles Schwab Corporation•Austin, TX

34d

About The Position

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.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
7+ years of professional software engineering experience
3+ years in technical leadership or architect role
3+ 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 deployment
Experience with legacy application modernization and migration projects
Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)
Production implementation of RAG architectures
Experience with Model Context Protocol (MCP) or AI agent orchestration frameworks
Experience with vector databases (Pinecone, Weaviate, Chroma, or Vertex AI Vector Search)
Prompt engineering and LLM optimization techniques
Experience with Vertex AI platform on Google Cloud Platform or Bedrock platform on AWS
Proficiency 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 engineers
Excellent communication skills-proven ability to explain complex technical concepts to non-technical stakeholders
Experience collaborating with product managers, data scientists, and business stakeholders
Problem-solving mindset with a focus on business outcomes

Nice To Haves

Master's degree in Computer Science, AI/ML, or related field
10+ years of professional software engineering experience
2+ years' experience implementing RAG architectures using frameworks like LangChain, LlamaIndex, or Haystack
Financial services or highly regulated industry experience
Experience in retirement services, wealth management, or FinTech
ML Ops and model lifecycle management
Multi-cloud experience (AWS/Azure in addition to GCP)
Advanced GKE and service mesh
Cloud Build and advanced CI/CD pipelines
IAM and Secret Manager best practices
JavaScript/TypeScript for full-stack context
Familiarity with Delphi, .NET, C#
Event Sourcing and CQRS patterns
Database design and optimization (relational and NoSQL)
Saga patterns for distributed transactions
Service mesh and API Gateway patterns
A/B testing frameworks and experimentation platforms
Experience working in Agile/Scrum environments at scale
Track record of driving consensus in cross-functional teams
Public speaking or technical writing experience (blogs, conferences, patents)
Contributions to open-source AI/ML projects
Knowledge of retirement services (401k, IRA, RMDs, rollovers)
Familiarity with fiduciary responsibilities in financial technology
Experience building systems with audit trails and explainability requirements
Understanding of tax implications in retirement planning
Google Cloud Professional Machine Learning Engineer, Cloud Architect, AWS/Azure Solutions Architect certifications