At a Glance
- Tasks: Lead AI knowledge systems and establish frameworks for innovative AI use.
- Company: Join Euromonitor, a global leader in data analytics and market research.
- Benefits: Exciting career growth, global collaboration, and the chance to shape AI practices.
- Other info: Dynamic role with opportunities to build from scratch in a fast-paced environment.
- Why this job: Be at the forefront of AI innovation and make a lasting impact.
- Qualifications: Deep understanding of AI platforms and hands-on experience in building workflows.
The predicted salary is between 80000 - 100000 £ per year.
About Euromonitor: Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.
About the role: Reporting to the Director of Gen AI, the AI Knowledge Architect will be Euromonitor's foremost authority on AI knowledge systems — holding formal sign-off power over the tools, skills, and integrations that the entire organisation builds on. This is an exciting, newly created role at the start of a significant journey. You will define best practice from the ground up, establishing the frameworks and canonical skill catalogue that will shape how Euromonitor uses AI for years to come. This role is for a senior technical builder who governs as a consequence of deep expertise, and for a governance and standards leader who can get hands‑on when it counts.
What you'll be doing:
- Knowledge architecture and AI systems (~25%)
- Develop and maintain deep expertise in the agentic entity set underpinning Euromonitor's AI capabilities: tool calls, connectors, APIs, MCP, native and custom integrations, and computer and browser use.
- Build in-depth command of system instructions and skills architecture — including how skills are invoked directly and indirectly, and how they can be chained into reliable end‑to‑end workflows.
- Architect retrieval frameworks that ground AI outputs in verified, properly attributed Euromonitor data, designed to be platform‑ and framework‑agnostic.
- Governance, standards, and the AI skill catalogue (~35%)
- Own and maintain Euromonitor's canonical AI skill catalogue — the quality‑assured library of tools and integrations available across the organisation.
- Apply a rigorous strategic value test: every skill must encode a proprietary Euromonitor way of working or draw from Euromonitor‑specific data sources; generic capabilities that agents can replicate on the fly do not qualify.
- Set contribution standards, version control, and deprecation policies — and embed proportionate security standards into the review process in partnership with Information Security.
- Organisational AI enablement and culture‑building (~25%)
- Drive the cultural change needed to embed AI capability across all functions, designing the enablement architecture that allows teams at different levels of technical maturity to adopt AI confidently.
- Identify, sponsor, and develop AI champions across the business — the long‑term carriers of AI culture at Euromonitor.
- Deliver proof‑of‑concept reference implementations that demonstrate best practice in design, documentation, and integration.
- Cross‑functional collaboration (~15%)
- Serve as the expert voice on AI knowledge quality and system design in product planning, roadmap, and senior leadership forums.
- Partner with Product, AI Engineering, and Research to ensure knowledge architecture decisions support Euromonitor's commercial and product ambitions.
What you'll bring:
- Deep practical understanding of how agentic AI platforms and large language models work — including system instruction design, skills architecture, tool calling, RAG, and connector protocols such as MCP.
- Hands‑on experience building or architecting AI skills and workflows, with a clear grasp of how skills can be chained for reliable end‑to‑end automation.
- Experience curating shared tool libraries or platform standards, with the judgement to distinguish genuinely proprietary capabilities from generic ones.
- Confident communication — able to write rigorous technical documentation, exercise formal catalogue authority with peers, and present strategic rationale to senior leadership.
- Familiarity with knowledge and metadata management principles, regardless of specific platforms encountered.
Who you are:
- You are energised by building something from scratch in a fast‑moving domain.
- You see governance as a product of deep expertise, not a constraint on innovation.
- You are equally comfortable setting an architectural standard and rolling up your sleeves to build a reference implementation.
- You track the AI landscape with genuine curiosity — not just how the tools work today, but where they are going.
What you'll get:
- The opportunity to step into a brand new role and build something exciting from scratch.
- Career growth opportunities as the role evolves significantly.
- Be part of a truly global company with regular communication across all of our 16 global offices.
- The ability to establish brand new frameworks and be an integral part of Euromonitor's history.
Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non‑merit factor.
AI Knowledge Lead employer: Euromonitor
At Euromonitor International, we pride ourselves on being a forward-thinking employer that fosters innovation and growth in the rapidly evolving field of AI. Our collaborative work culture encourages employees to take ownership of their projects while providing ample opportunities for professional development and career advancement. With a global presence and a commitment to diversity and inclusion, joining our team means being part of a dynamic organisation where your contributions will shape the future of AI knowledge systems.
StudySmarter Expert Advice🤫
We think this is how you could land AI Knowledge Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Euromonitor. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or examples of your work, bring them along to interviews. Demonstrating your expertise in AI knowledge systems will make you stand out.
✨Tip Number 3
Prepare for the unexpected! Be ready to discuss how you would approach building AI frameworks from scratch. Think about real-world applications and be ready to share your ideas.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Euromonitor team.
We think you need these skills to ace AI Knowledge Lead
Some tips for your application 🫡
Show Your Expertise:Make sure to highlight your deep understanding of AI systems and knowledge architecture in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your skills!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love it when candidates take the time to connect their experiences directly to what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured documents that convey your thoughts effectively. Remember, clarity is key in technical documentation!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Euromonitor.
How to prepare for a job interview at Euromonitor
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI platforms and large language models. Be ready to discuss system instruction design and skills architecture in detail, as this role requires a deep understanding of how these systems work.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on experience in building or architecting AI skills and workflows. Highlight any projects where you've successfully chained skills for reliable automation, as this will demonstrate your practical expertise.
✨Communicate with Confidence
Practice articulating your thoughts clearly and confidently. You’ll need to present technical documentation and strategic rationale to senior leadership, so being able to communicate complex ideas simply is key.
✨Emphasise Cultural Change
Think about how you can drive cultural change around AI within an organisation. Be prepared to discuss strategies for identifying and developing AI champions across the business, as well as how you would enable teams at different technical levels to adopt AI confidently.