Lead AI Experience Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

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Logo of Live Nation Entertainment

Live Nation Entertainment

10,000+ employees

Founded 1996

📱 Media

💰 Post-IPO Debt on 2023-01

Media • Entertainment

Live Nation Entertainment is the global leader in live entertainment, powering unforgettable experiences around the world. Artist-powered and fan-driven, Live Nation works with musicians to bring their creativity to life on stages across the globe. As the top producer of concerts, ticket seller, and brand connector to music, Live Nation's platform leads the market in these three core industries. Their mission extends beyond entertainment, aiming to uplift, inspire, and create memories through the power of live music.

📋 Description

• Provide technical leadership for agentic AI across the TM1 Client & Fan Support Engineering team • Define technical direction and strengthen the team’s AI capabilities in partnership with the Engineering Manager • Lead the design of intelligent AI experiences for client and fan support • Translate business processes, service policies, and customer journeys into agent behaviors, decision logic, conversational patterns, 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 AI Engineers in delivering reliable, maintainable, production-ready solutions • Define and monitor AI quality measures including task completion, response quality, grounding, escalation accuracy, containment, customer satisfaction, and business outcomes • Partner with Product, Client and Fan Support Operations, Data Science, Platform, QA, Security, and Knowledge Management teams • Mentor AI Engineers through technical guidance, feedback, design sessions, and knowledge sharing • Evaluate emerging AI technologies and recommend approaches to improve quality, delivery, and operational effectiveness

🎯 Requirements

• Significant experience designing and leading conversational AI, intelligent assistant, 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 and 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 and using interaction data, testing, and analytics to improve performance • Knowledge of RAG, semantic search, enterprise knowledge systems, grounding, observability, and regression testing • Working knowledge of APIs, cloud services, software architecture, integration patterns, and modern engineering practices • Ability to lead complex initiatives, navigate ambiguity, and balance business value, customer experience, technical constraints, risk, and maintainability • Strong communication, stakeholder management, systems thinking, and problem-solving skills • Bachelor’s or master’s degree in relevant discipline, or equivalent practical experience • Experience operating agentic AI solutions in production preferred • Experience with conversational AI platforms, agent orchestration frameworks, prompt-management tools, or AI evaluation platforms preferred • Experience in customer service, contact center, or high-volume digital support environments preferred • Familiarity with Amelia, Zendesk, Five9, Salesforce, or comparable platforms preferred • Knowledge of AI governance, privacy, security, accessibility, and multilingual support preferred

🏖️ Benefits

• Inclusive work environment • Support to balance work and homelife • Professional and personal development opportunities • New experiences and learning from talented colleagues • Equal employment opportunities regardless of gender, race, sexual orientation, religion, age, disability status, or caring responsibilities

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