Forward Deployed Engineer (Enterprise AI)

Join Live Nation Entertainment as a Forward Deployed Engineer – Enterprise AI. In this role, you will serve as a product and technical lead, working directly with business stakeholders to identify high-impact AI use cases and design, build, and deploy production AI agents. You will be responsible for measurable value delivery, ensuring alignment with enterprise architecture, security, and governance standards. This position offers a competitive salary and benefits package, including medical, dental, and vision coverage, paid time off, a 401(k) program with company match, and more.

• Partner directly with business unit leaders to discover, scope, and prioritize AI agent use cases with clear ROI.
• Design, build, and deploy production AI agents on Amazon Bedrock AgentCore, Amazon Bedrock, and Databricks, ensuring every deployed agent is secure, observable, cost-efficient, and supportable.
• Work alongside Data Engineering to leverage the Databricks lakehouse and enterprise data assets, and coordinate with Cybersecurity, Architecture, and Operations to meet governance, privacy, and compliance requirements.

• Able to present technical trade-offs, cost and outcomes directly to executive and non-technical audiences, and to defend them under challenge
• Executive presence — excellent communication and interpersonal skills with the ability to engage senior business leaders and non-technical audiences
• Demonstrated product thinking: ability to scope, prioritize, and measure the impact of technical solutions
• Minimum 5 years of experience in software engineering, solutions engineering, or technical product roles, with a record of delivering customer- or stakeholder-facing solutions
• Minimum 2 years of hands-on experience building, deploying and supporting LLM-based applications, including at least one agentic system running in production — ideally on Amazon Bedrock / Bedrock AgentCore or a comparable platform
• Comfort operating independently in ambiguous, fast-moving environments
• Strong proficiency in Python; working knowledge of Terraform and CI/CD (GitHub Actions preferred)
• Working data literacy — SQL and comfort operating in a lakehouse environment (Databricks preferred)
• Infrastructure as code with Terraform preferred
• Experience in live entertainment, ticketing, or large-scale consumer e-commerce preferred
• Change management and user enablement experience driving adoption of new tooling at enterprise scale preferred
• Experience working across a multi-model foundation-model estate and selecting models on cost/quality trade-offs preferred