Graph AI RAG Engineer – Wealth AI Platform
Are you ready to harness the power of Graph Retrieval-Augmented Generation technology? Apply Now!
Working with one of our top financial clients, this role calls for a Graph RAG AI Engineer to support the development and advancement of Wealth AI platforms. This position involves designing sophisticated graph-based retrieval solutions and knowledge graph architectures that enable complex wealth advisory, compliance, and client intelligence workflows, providing a critical edge in the competitive wealth management landscape.
Responsibilities
- Design and implement advanced Graph RAG architectures to enhance data integration and retrieval capabilities
- Build end-to-end RAG pipelines including data ingestion, chunking, embedding, retrieval, and content generation
- Develop and maintain enterprise knowledge graphs utilizing wealth domain data
- Implement graph-enhanced retrieval strategies that combine vector search with graph traversal techniques
- Support entity resolution and relationship modeling across various wealth data sources
- Develop scalable APIs and microservices to support AI platform functionalities
- Collaborate effectively with AI engineers, data teams, architects, and business stakeholders
- Optimize retrieval accuracy, improve explainability, and reduce hallucination in AI outputs
- Support deployment of robust enterprise-grade AI systems in regulated environments
Desired Skill-Set
- Proven experience designing and deploying RAG pipelines in production
- Hands-on expertise with Graph RAG architectures and knowledge graph modeling
- Proficiency with graph databases such as Neo4j, Cosmos DB Gremlin, Neptune, or TigerGraph
- Strong understanding of graph traversal and knowledge graph principles
- Experience working with vector databases and hybrid retrieval strategies
- Advanced Python engineering skills
- Familiarity with Azure cloud platforms or other cloud-native AI environments
- Knowledge of AI explainability, evaluation frameworks, and reduction of AI hallucinations
Nice to Have
- Experience with wealth management or capital markets workflows
- Background supporting client onboarding, KYC, suitability, or portfolio management processes
- Experience with multi-hop reasoning and graph-enhanced contextual retrieval
- Practical knowledge of deploying enterprise Generative AI platforms into production environments
- Exposure to LangChain or Semantic Kernel frameworks
- Experience with model fine-tuning or domain adaptation
- Familiarity with synthetic data generation or AI testing frameworks
BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.