This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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