Lead Engineer, AI Development Experience

Job Summary:

Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 620 million tickets sold annually and approximately 10,000 clients worldwide.  Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 50,000 events annually for nearly 7,000 artists in 40+ countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect more than 1,200 sponsors with the 145 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com.

You embody our core values of Keep it Simple, Be Inquisitive, Win Together, and Own It. You are passionate and motivated. Driven, happy to deal with and remove ambiguity, a strong entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. Versatile, autonomous high performer in multiple disciplines, and specifically in augmenting each discipline with an AI practice. You are skilled in building consensus, making data-driven decisions, and delivering world-class development experiences, especially with AI as a force multiplier. You persuasively advocate for an idea, but always stay open minded and rigorously prioritize. You have a bias towards action. Most of all, you love to dig in and build amazing things with your team, always pushing the envelope. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! 

Live Nation Core Data Services is looking for a world class Lead AI Development Experience Engineer to architect and build the foundational AI tooling and platform enabling teams across the organization to create, deploy, and manage AI agents, workflows, applications, and automations. This role sits at the intersection of engineering, developer tooling, productivity tools, and generative AI, focused on democratizing AI capabilities for both technical and non-technical users. We are a global org, and we need someone comfortable working globally across time zones.

This role requires enterprise cross-functional team experience and engineering expertise with hands-on experience in generative AI tooling. You'll design and build the APIs, SDKs, CLI tools, and workflows that make it effortless for both technical and non-technical teams to leverage AI capabilities, while ensuring production-grade reliability, observability, and security. You will also coach and lead teams as they implement AI-augmented processes in their daily work. In addition, you will build and maintain macro scale ways in which our entire org can lead the broader business in AI adoption, always focused on data and data-driven product development.

This is a critical role on an entrepreneurial team with the resources, exposure, and customer base of the world’s leading live entertainment company. The person we're looking for will combine passionate engineering leadership with discipline and a keen attention to detail. We need a committed engineer who builds trust throughout the business. We need someone who delivers reliably against a roadmap and backlog, often supporting multiple initiatives, and who always publishes robust documentation along the way. This is a key role on a high-performing team, and it will be highly visible globally within our business.

• Design and build tooling including APIs, SDKs, CLI tools, and workflows that democratize AI capabilities for both technical and non-technical users.

• Establish production-grade standards for reliability, observability, security, and operational excellence across all AI implementations.

• Coach and lead cross-functional teams in implementing AI-augmented processes and workflows in their daily operations.

• Create documentation, best practices, and enablement materials that accelerate AI adoption and reduce time-to-value.

• Build feedback loops and measurement frameworks to track AI adoption, effectiveness, and ROI across the organization.

• Collaborate with Architecture, Data Engineering, Security, and other engineering functions to ensure smooth AI tooling deployments and maintenance.

• Work with external third-party vendors to assess new partnership opportunities and/or evaluate existing solutions.

• Strong engineering background (8+ years) with proven ability to architect and build scalable platforms, CLIs, SDKs, APIs, and other developer tools.

• 2+ years hands-on experience building generative AI tooling including LLM APIs, prompt engineering, agent frameworks, and AI orchestration platforms; experience building full stack applications is a major plus.

• Principal-level engineering judgment with ability to balance innovation, pragmatism, and production requirements; previous Data Engineering, BI, Analysis, and/or Full Stack Engineering experience is a plus.

• Deep fundamental data engineering knowledge and architecture knowledge and experience, including full command of RDBMS, Spark/Flink, Event Bus (Kafka), Lucene (Elasticsearch), and Data Mesh implementation.

• Experience in Databricks, including observability, monitoring, security, and reliability engineering practices on workflows and persistent data.

• Expertise documenting tools and data products intended for self-serve usage by non-technical users.

• Strong written and oral communication skills to effectively interact and facilitate discussions with cross functional teams across the business.

• Comfortable juggling multiple concurrent projects and tracking them all correctly in JIRA or other agile work management tools.

• Willingness to work with cross-functional teams across time-zones and odd hours as necessary.

• Technical coaching and enablement skills with ability to teach and guide teams through complex technology adoption.

• Passion for live music and events is a plus.

• Versatility to work across disciplines and unlock whatever capabilities are needed to make products successful; no job too big or too small mentality.

• Optimism with drive, drive, drive.