AI Architect

AI Architect

Full-Time 80000 - 98000 £ / year (est.) Home office (partial)
LexisNexis

At a Glance

  • Tasks: Design and build AI systems that transform complex patent data into actionable insights.
  • Company: Join LexisNexis, a leader in patent intelligence and innovation.
  • Benefits: Enjoy flexible hours, generous holidays, health benefits, and professional development opportunities.
  • Other info: Collaborative culture focused on innovation and career growth.
  • Why this job: Make a real impact in the world of AI and patent analysis.
  • Qualifications: Strong software engineering skills with experience in AI/ML architecture.

The predicted salary is between 80000 - 98000 £ per year.

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 - LexisNexis Intellectual Property Solutions (LNIP) 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 PatentSight is LNIP’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 PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX 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 LNIP.

Key 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. 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 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.

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 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 and semantic search pipeline design.
  • Experience with Model Context Protocol (MCP).
  • 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: security, privacy, reliability, cost governance, and observability.
  • Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences.

Desirable:

  • 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.

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Working flexible hours: flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you: We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Generous holiday allowance with the option to buy additional days.
  • Health screening, eye care vouchers, and private medical benefits.
  • Wellbeing programs.
  • Life assurance.
  • Access to a competitive contributory pension scheme.
  • Save As You Earn share option scheme.
  • Travel Season ticket loan.
  • Electric Vehicle Scheme.
  • Optional Dental Insurance.
  • Maternity, paternity, and shared parental leave.
  • Employee Assistance Programme.
  • Access to emergency care for both the elderly and children.
  • RECARES days, giving you time to support the charities and causes that matter to you.
  • Access to employee resource groups with dedicated time to volunteer.
  • Access to extensive learning and development resources.
  • Access to employee discounts scheme via Perks at Work.

About the business - At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

AI Architect employer: LexisNexis

At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our comprehensive benefits package and opportunities for professional development, ensuring that you can thrive in your role as Vice President of Strategy, Data Services. Located in a dynamic environment, we empower our team to make impactful decisions that shape the future of data services while enjoying a supportive work atmosphere that values well-being and work-life balance.

LexisNexis

Contact Details:

LexisNexis Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Architect

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at LexisNexis or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to LexisNexis.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like LexisNexis.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like LexisNexis that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Architect

AI Architecture
Machine Learning (ML)
Python
C# or equivalent compiled language
Vector Databases
Semantic Search Pipeline Design
Model Context Protocol (MCP)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at LexisNexis.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LexisNexis and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at LexisNexis

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If LexisNexis uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.