AI Product & System Architect – Brand Intelligence

M&I

. Define users, use cases, workflows, knowledge domains, inputs, outputs, success measures and MVP scope for the Brand Intelligence product .

Posted 9/24/2026contractRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI product and platform architecture, focusing on governance frameworks and responsible AI practices. Proven ability to deliver AI-enabled products from concept to implementation while collaborating effectively across teams.

Highest-signal resume keywords

AI Product ArchitectureKnowledge ArchitectureAgentic Workflow DesignGovernance FrameworksAI Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Product DevelopmentInformation ArchitectureIntegration ApproachTechnical Delivery SpecificationsMVP DevelopmentSuccess Measures DefinitionContent Quality ControlAuditabilitySystems ThinkingMulti-Agent Systems

Soft Skills

CollaborationAutonomyExecutive Advisory

Industry Keywords

Knowledge-WorkMediaEventsTravelProfessional Services

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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