Head of AI Retrieval & Knowledge Graphs (Remote)

Prosapient; United Kingdom; Remoto; GBP 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Tenure Gifts

Health insurance

Employee Assistance Programme

Enhanced Maternity & Paternity pay

Annual Leave 25 days + holidays

MyMindPal app

Corporate Events

Descrizione del lavoro

proSapient is seeking a Search & AI Retrieval Lead to define and build a scalable search stack, knowledge graph architecture, and intelligent retrieval across our platform. You will lead architecture decisions for keyword, vector, hybrid, and graph-based retrieval and align enrichment with frontier LLMs.

You will design data pipelines on GCP, optimize relevance, and develop recommendation systems that leverage both structured and unstructured data. Remote work is supported.

Competenze

• 5+ years building production search/retrieval systems.
• Experience designing search architectures.
• Experience evaluating and selecting search technologies.
• Experience with semantic search and embeddings.
• Experience building pipelines on frontier LLMs (OpenAI, Gemini).
• Strong Python skills.

Mansioni

• Define and implement a scalable search stack and architecture.
• Design knowledge graph and enrichment workflows.
• Build extraction pipelines on frontier models.
• Develop modern recommendation systems leveraging structured + unstructured data.
• Architect retrieval pipelines on Google Cloud Platform (GCP).
• Define measurable relevance and quality frameworks.

Conoscenze

Search architecture

Cloud-native

Python

GCP

Embeddings

Knowledge Graphs

LLM integration

Leadership

Strumenti

BigQuery

Neo4j

Descrizione del lavoro

proSapient is seeking a Search & AI Retrieval Lead to define and build a scalable search stack, knowledge graph architecture, and intelligent retrieval across our platform. You will lead architecture decisions for keyword, vector, hybrid, and graph-based retrieval and align enrichment with frontier LLMs.

You will design data pipelines on GCP, optimize relevance, and develop recommendation systems that leverage both structured and unstructured data. Remote work is supported.