Overview
Lead AI Experience Engineer for agentic AI services in Ticketmaster’s TM1 Client & Fan Support Engineering team.
What you'll do
- Provide technical leadership for agentic AI across the TM1 Client & Fan Support Engineering team.
- Lead design of AI experiences to understand client/fan needs, apply business rules, maintain context, and safely complete support tasks.
- Translate business processes, service policies, and customer journeys into AI behaviors, decision logic, and autonomous workflows.
- Establish reusable patterns and standards for prompts, NLU, context management, guardrails, retrieval, tool use, evaluation, documentation, and human handoff.
- Conduct design and quality reviews, identify risks, and guide engineers toward production-ready solutions.
- Define and monitor AI quality measures (e.g., task completion, response quality, grounding, escalation accuracy, containment, customer satisfaction, business outcomes).
- Mentor AI engineers and evaluate emerging AI technologies to improve quality and operational effectiveness.
What you'll need
- Significant experience designing and leading conversational AI, intelligent assistants, generative AI, or agentic AI solutions.
- Deep understanding of LLMs, prompt engineering, agent behavior, reasoning patterns, context management, memory, tool calling, and workflow orchestration.
- Strong expertise in NLU (intent/entity modeling), semantic understanding, dialogue management, clarification strategies, and conversational design.
- Experience translating business rules and operational workflows into AI decision logic and user experiences.
- Experience designing guardrails, policy controls, escalation paths, failure handling, and responsible AI practices.
- Experience defining AI evaluation frameworks using interaction data, testing, and analytics to improve performance.
- Working knowledge of APIs, cloud services, software architecture, integration patterns, and modern engineering practices.
Details
- Location: Remote, United Kingdom.
- Contract terms: Fulltime.
Read the full description and apply on the company’s own careers page.