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RELX

Global information analytics and decision tools

AI Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeFarringdon, London, UKNo salary listedIn-person

About the Job

Requirements

  • Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role.
  • A proven track record delivering production large language model-based systems, including retrieval-augmented generation pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows.
  • Strong proficiency in Python for AI service development and working knowledge of C# or an equivalent compiled language for enterprise microservice integration.
  • Hands-on experience with vector databases and semantic search pipeline design.
  • Experience with Model Context Protocol.
  • Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch in an analytical or AI feature engineering context.
  • Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements, including security, privacy, reliability, cost governance, and observability.
  • Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences.

Responsibilities

  • Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy.
  • Evaluate and recommend AI technologies, modelling approaches, and platform components.
  • Stay up to date with advances in agentic AI and domain-specific AI research, and translate emerging capabilities into practical architectural recommendations.
  • Author and maintain Architecture Decision Records and system design documentation, providing a clear and durable record of technical choices and their rationale.
  • Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources.
  • Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across structured analytics and unstructured text corpora.
  • Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established intellectual property metrics.
  • Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern large language model behaviour and maintain output accuracy in production.
  • Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs.
  • Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance.
  • Ensure all AI systems comply with RELX Responsible AI Principles.
  • Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks.
  • Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders.

Desired Qualifications

  • Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems.
  • Knowledge of Responsible AI Principles.
  • An advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience designing event-driven, cloud-native architectures using Kafka or equivalent streaming platforms, including topic design, schema governance, and consumer patterns.

About the Company

RELX

Global information analytics and decision tools

RELX is a global provider of information-based analytics and decision tools for professionals across scientific, technical, medical, legal, risk, business, and exhibitions industries. It operates in four segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions. Its products combine large datasets, analytics, and decision-support tools to help researchers, healthcare professionals, lawyers, and business leaders make informed choices, improve productivity, and achieve better outcomes. Revenue mainly comes from subscriptions, with additional income from transactional sales and advertising. RELX differentiates itself through its deep data assets, specialized industry knowledge, and multi-segment offerings that span content, analytics, and decision-support services. The company pursues a goal of delivering trusted information and insights while supporting corporate responsibility and alignment with the UN SDGs through its products and partnerships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1894

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