AI Architect: Agentic AI for Patent Insight, Flexible Hours

LexisNexis IP

United Kingdom

Hybrid

GBP 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Pension scheme
Life assurance
Flexible hours

Job summary

LexisNexis Intellectual Property Solutions UK is seeking an AI Architect to be the technical authority for Protégé within PatentSight+. You will shape the AI stack, ensuring coherence, scalability, security and alignment with RELX Responsible AI standards.

This is a senior individual-contributor role coordinating with Engineering Leads, PMs and data teams. You will design agentic reasoning systems, retrieval architectures, and governance for LLM-powered patent intelligence, prioritising

Qualifications

  • Proven production experience delivering LLM-based systems and RAG pipelines.
  • Strong Python skills for AI service development; enterprise integration knowledge.
  • Experience with vector databases, search engines, and data platforms.
  • Ability to design secure, auditable AI systems with non-functional requirements.

Responsibilities

  • Define and own AI architecture vision for Protégé in PatentSight+.
  • Evaluate AI technologies and modelling approaches for scalable systems.
  • Author ADRs and system design documentation with clear rationale.
  • Architect agentic reasoning, multi-step analyses and cross-source insights.
  • Design retrieval and search architectures for fast, accurate patent intel.

Skills

Python for AI
LLM architecture
Vector databases
Security compliance
Stakeholder comms

Tools

Databricks
Elasticsearch

Job description

LexisNexis Intellectual Property Solutions UK is seeking an AI Architect to be the technical authority for Protégé within PatentSight+. You will shape the AI stack, ensuring coherence, scalability, security and alignment with RELX Responsible AI standards.

This is a senior individual-contributor role coordinating with Engineering Leads, PMs and data teams. You will design agentic reasoning systems, retrieval architectures, and governance for LLM-powered patent intelligence, prioritising

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