Lead Engineer, Agentic AI Engineering

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 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.

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Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on!

Live Nation Entertainment is seeking a hands‑on, execution-focused technical leader to serve as Lead Engineer – Agentic AI Engineering. This role reports directly to the Sr Director – Data & AI Engineering and owns the engineering, reliability, and lifecycle management of the enterprise agentic AI platform.

• Agentic AI Platform Engineering Provide end-to-end technical ownership of the enterprise agentic AI stack:
  Amazon Bedrock Agent Core (Runtime, Gateway, Memory, Identity, Observability, Evaluations and Policy), Amazon Bedrock, and the associated control plane, governance & cybersecurity platforms.
• Design, develop, and maintain:
  Production AI agents and multi-agent orchestration patterns.
• Agent lifecycle management — versioning, evaluation, promotion, monitoring, and retirement, including offline eval sets, regression gates in CI and online quality monitoring of production traffic.
• Model Context Protocol (MCP) servers, tool integrations, and secure API gateways.
• Retrieval-Augmented Generation (RAG) pipelines and context engineering frameworks.
• Establish reusable agent templates, reference architectures, and enterprise AI services.
• Embed security, compliance, and privacy controls into agent pipelines in alignment with enterprise governance standards.
• Own agent-level security controls: least‑privilege agent identity, tool scoping and policy enforcement, guardrails, and defences against prompt injection and tool abuse — in partnership with Cybersecurity Operations, Support & Fin Ops.
• Ensure production‑grade reliability, observability, and monitoring of agentic workloads.
• Own Fin Ops for the AI platform: cost visibility, token and compute optimization, capacity planning, and chargeback/showback reporting.
• Define and operate support models (runbooks, escalation paths, SLAs) for agents in production.
• Participate in the on‑call rotation for agentic workloads and in incident response alongside Cybersecurity and Global Technology Operations.

• Champion "everything as code":
  Terraform for infrastructure, Git Hub and Git Hub Actions for CI/CD, Python as the primary language.
• Hire, onboard, and mentor a small team of engineers as headcount is approved, building the foundation of the Agentic AI Engineering practice.
• Partner with Data Engineering, Cybersecurity, Architecture, and Operations teams on platform integration, including the Databricks lakehouse environment.

• Minimum 10 years of experience in software or platform engineering, with a track record of shipping and operating production systems at scale.
• Minimum 2 years of hands‑on experience building LLM‑based applications including at least one agentic system operating in production — ideally on Amazon Bedrock / Bedrock Agent Core or a comparable platform.
• Deep proficiency in Python, Terraform, and modern CI/CD practices (Git Hub Actions preferred).
• Experience across a multi-model foundation-model estate, including model selection on cost/quality trade-offs preferred Live entertainment, ticketing, or large‑scale.
• Demonstrated experience with cloud cost management / Fin Ops…