LN Media & Sponsorship || Lead AI Solutions Engineer
AI summary of the role
This Lead AI Solutions Engineer role at Live Nation Media & Sponsorship focuses on building and shipping production-grade internal AI agents and agentic applications.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Build, test, and iterate internal AI agents and workflow tools for priority business use cases
- Partner with Product, IT, Analytics, and Business stakeholders to translate needs into working solutions
- Integrate AI agents with internal systems and data sources (e.g., CRM, documents, knowledge bases, communication tools)
- Take early concepts and prototypes into usable, maintainable internal products
What you’ll bring
- 4+ years of Software Engineering experience
- Hands-on experience building and deploying AI-powered applications, agents, or agentic workflows (e.g., Claude Code, OpenAI Codex, Gemini, Google ADK)
- Strong understanding of agentic engineering including multi-step workflows, tool orchestration, memory/context management, and structured output generation
- Experience integrating AI systems with internal tools and data sources via APIs, connectors, and workflow automation (ideally AWS and/or GCP)
Technologies
Claude Code · OpenAI Codex · Gemini · Google ADK · AWS · GCP · APIs · CRM · workflow automation
About Live Nation Entertainment
Vertically integrated live-entertainment stack: concert promotion, Ticketmaster ticketing, venue operations, sponsorship, premium hospitality, and artist services at global scale.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
innovative, forward-thinking, and collaborative. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you, please read on! THE JOB The Lead AI Solutions Engineer will build and ship high-impact, production-grade internal AI agents and agentic applications that solve meaningful business problems across the division. This role is the dedicated technical builder in a stakeholder + builder model, partnering closely with product and business stakeholders to turn prioritized use cases into functioning prototypes and production-ready internal tools. This role will be using AI-native workflows for majority of their tasks and will act as the SME for Agentic Engineering within the division. WHAT THIS ROLE WILL DO Build, test, and iterate internal AI agents and workflow tools for priority business use cases Partner with Product, IT, Analytics, Business
More from the job description
Job Summary: WHO ARE WE? 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 500 million tickets sold annually and more than 12,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com. WHO ARE YOU? Passionate and driven, with an entrepreneurial spirit. Resourceful, innovative, forward-thinking, and collaborative. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you, please read on! THE JOB The Lead AI Solutions Engineer will build and ship high-impact, production-grade internal AI agents and agentic applications that solve meaningful business problems across the division. This role is the dedicated technical builder in a stakeholder + builder model, partnering closely with product and business stakeholders to turn [... source excerpt omitted ...] agents and workflow tools for priority business use cases Partner with Product, IT, Analytics, Business stakeholders to translate needs into working solutions Translate product requirements and business use cases into working technical implementations, including prompt design, tool orchestration, and workflow logic Integrate AI agents with internal systems and data sources (e.g., CRM, documents, knowledge bases, communication tools) to enable real-world utility Take early concepts and prototypes into usable, maintainable internal products Collaborate with IT, data, and platform teams to ensure secure, compliant, and scalable integration of tools Stay current with emerging AI t [... source excerpt omitted ...] management, agent harness design, and structured output generation Ability to move from ambiguous problem statements to working solutions quickly, including rapid prototyping and productionizing internal tools Experience integrating AI systems with internal tools and data sources via APIs, connectors, and workflow automation, ideally within AWS and/or GCP environments Solid grasp of token optimization, prompt efficiency, and cost-performance tradeoffs, along with experience designing lightweight evaluation frameworks to measure agent quality and reliability Familiarity with security, governance, and observability principles, including logging, monitoring, access control, and sa
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