AI Architect
On-siteFarringdon, England, United Kingdom of Great Britain and Northern Ireland
Job Summary
Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Architect agentic reasoning systems that decompose complex patent questions and design retrieval architectures for accurate, low-latency patent intelligence. Author Architecture Decision Records, establish prompt engineering standards, and lead risk assessments to ensure compliance with RELX Responsible AI Principles. Partner with Engineering Leads, Product Managers, and Security teams to shape the AI roadmap and maintain enterprise-grade security and observability. This senior individual-contributor role requires strong software engineering expertise in Python and LLM-based systems, with a focus on delivering production-ready AI solutions within the global patent intelligence domain.
Required Qualifications
- Strong professional software engineering expertise
- Experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role
- Proven track record delivering production LLM-based systems
- Experience with RAG pipelines
- Experience with agentic/tool-use frameworks
- Experience with multi-step reasoning workflows
- Strong proficiency in Python for AI service development
- Working knowledge of C# or equivalent compiled language for enterprise microservice integration
- Hands-on experience with vector databases
- Experience with semantic search pipeline design
- Experience with Model Context Protocol (MCP)
- Experience with large-scale data platforms such as Databricks
- Experience with 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: security, privacy, reliability, cost governance, and observability
- Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences
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
- 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
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