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Lead Applied AI Developer - Client Data Technology

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Charles Schwab

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Location:
United States , Southlake

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Contract Type:
Not provided

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Salary:

138500.00 - 210000.00 USD / Year

Job Description:

Join us as we lead the most significant technical transformation in Client Data Technology —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.

Job Responsibility:

  • Architecting AI-native systems using Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) to modernize legacy applications through Domain-Driven Design
  • 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
  • Pioneer RAG architecture and multi-agent orchestration in a highly regulated, mission-critical environment
  • Establish yourself as an industry-leading expert in AI-driven legacy transformation, defining patterns that will become case studies for years to come

Requirements:

  • Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience
  • 7+ years of professional software engineering experience with a strong focus on AI/ML engineering
  • 3+ years in technical leadership 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 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
  • Track record of driving consensus in cross-functional teams

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 17, 2026

Expiration:
February 25, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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