Director, Generative AI Experience Engineering

Role Requirements

Technical Leadership

• Lead the design and architecture of AI-native experience platforms, from frontend rendering systems through to retrieval, orchestration and agentic workflows.
• Remain hands-on with engineering teams, contributing to prototypes, proof-of-concepts and production acceleration across emerging AI-enabled products and services.
• Manage and mentor a team of developers whilst driving engineering quality, technical direction and delivery standards.

AI Systems & Experience Engineering

• Build and shape AI-native customer experiences driven by intent, contextual generation, retrieval and adaptive orchestration.
• Work across modern LLM ecosystems including foundation models, retrieval pipelines, vector storage, embeddings, multi-agent systems and AI observability tooling.
• Design systems that support conversational rendering, dynamic content assembly, streaming UX and adaptive interfaces.
• Actively experiment with AI tooling, workflows and engineering methodologies, bringing forward-thinking ideas into production environments.

Client Advisory & Strategic Leadership

• Work directly with senior client stakeholders to shape AI transformation conversations, technical strategy and engineering roadmaps.
• Lead discovery sessions, workshops and architecture discussions, translating technical complexity into commercial and customer experience value.
• Act as the engineering authority within client engagements, confidently communicating what is technically viable, scalable and strategically valuable.

Innovation & Delivery

• Lead rapid proof-of-concepts, innovation initiatives and production acceleration across undefined and emerging technical territory.
• Operate comfortably in ambiguity whilst balancing experimentation, delivery quality and commercial realities.
• Drive AI-augmented engineering methodologies and continuously improve team practices.