AI Product & System Architect – Brand Intelligence

🔥 3 minutes ago

🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

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Logo of M&I

M&I

51 - 200 employees

Founded 2006

🤝 B2B

🏨 Hospitality

✈️ Travel

B2B • Hospitality • Travel

M&I is a global events organiser focused on the MICE (Meetings, Incentives, Conferences, Exhibitions) industry. It runs a calendar of curated, destination-based events and exhibitions that bring together vetted buyers and suppliers for high-quality, business-focused meetings, using AI-powered matchmaking and onsite support to minimise no-shows and maximise networking. M&I operates a variety of formats (Flagship, LUXE, Healthcare, Transatlantic, Expo) across major international destinations and is part of Worldwide Events Group Ltd.

📋 Description

• Define users, use cases, workflows, knowledge domains, inputs, outputs, success measures and MVP scope for the Brand Intelligence product • Design information architecture, retrieval approach, ownership model and maintenance framework • Define AI product component model, integration approach and orchestration requirements • Develop governance framework covering content ownership, quality controls, approval workflows, auditability and responsible AI • Produce technical delivery specifications enabling engineering teams to build the MVP without material redesign • Document a repeatable AI product design method for future brand rollouts • Collaborate with the COO Office, Marketing and Design Product Leads, Agent Factory development teams and M&I subject matter experts • Deliver the engagement remotely with autonomy over methods, tools and sequencing • Deliver an MVP for user testing by 1 December 2026 and a pilot for live campaign use by 15 December 2026

🎯 Requirements

• Proven experience delivering AI-enabled products from concept through to implementation • Deep expertise in AI product and platform architecture, including AI-enabled operating model design • Strong experience in knowledge architecture and retrieval systems • Hands-on experience designing agentic workflows and orchestration patterns • Executive advisory experience • Systems thinking to connect product design to wider business outcomes • Desirable: multi-agent systems and AI orchestration frameworks • Desirable: governance and responsible AI frameworks, including human and agent operating models • Desirable: commercial AI product development • Desirable: experience in knowledge-work, media, events, travel or professional services environments

🏖️ Benefits

• Competitive day rate, depending on experience • Final scope and deliverables agreed with the contractor • Remote delivery with autonomy over methods, tools and sequencing • Diversity and inclusion commitment

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