AI Architect

Location: Farringdon

Our client is a global legal and business information company. AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team:
Our Intellectual Property Solutions (our client) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in Patent Sight is our client's next-generation agentic AI assistant, purpose-built for strategic patent analysis.

Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role :
As an AI Architect, you will be the technical authority for the AI systems that power Protégé within Patent Sight. You will work across the full stack, from the agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with its parent group Responsible AI standards. This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within our client.

Key Responsibilities:

Define and own the AI architecture vision for Protégé in Patent Sight, 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. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) 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 both 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 IP metrics.

Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM 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 its parent group 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. Requirements:
Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong…