Lead AI Retrieval Architect — Graph RAG + GNN

Lead AI Retrieval Architect — Graph RAG + GNN

Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Architect a hybrid Graph RAG and GNN system to enhance information discovery.
  • Company: Join proSapient, a leader in innovative data solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with Google’s product teams in a dynamic and innovative environment.
  • Why this job: Shape the future of search technology and impact global investors.
  • Qualifications: 5+ years in production search, deep semantic search expertise, and leadership experience.

The predicted salary is between 81000 - 99000 £ per year.

proSapient is seeking a Staff-level IC to define the future of information discovery. You will architect a hybrid Graph RAG and GNN reranker system, partnering with Google’s product teams, balancing hands-on Python development with architectural guidance to surface insights from massive datasets for global investors.

Ideal candidates have:

  • 5+ years in production search or retrieval
  • Deep semantic search expertise
  • Experience leading complex architectures with knowledge graphs and re-ranking

Lead AI Retrieval Architect — Graph RAG + GNN employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Lead AI Retrieval Architect — Graph RAG + GNN

Python Development
Graph RAG Architecture
GNN Reranker System
Information Discovery
Deep Semantic Search
Knowledge Graphs
Complex Architecture Leadership