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Live Nation Entertainment

Organizes live entertainment events and ticketing

Lead Engineer - Agentic AI Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBeverly Hills, CA, USA

About the Job

Requirements

  • 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 large language model-based applications, including at least one agentic system operating in production; experience with Amazon Bedrock or Bedrock AgentCore or a comparable platform is ideal.
  • Deep proficiency in Python, Terraform, and modern continuous integration and continuous delivery practices; GitHub Actions is preferred.
  • Experience across a multi-model foundation-model estate, including model selection based on cost and quality trade-offs, is preferred.
  • Demonstrated experience with cloud cost management or FinOps for AI or data workloads.
  • Experience hiring, mentoring, and leading small engineering teams.
  • Ability to explain complex agentic architectures to technical and non-technical audiences.
  • Experience with evaluation-driven development, including offline evaluation sets, rubric and large language model-as-judge scoring, regression gates in continuous integration, and online quality monitoring of production agents.
  • Practical experience securing large language model and agent systems, including identity and least-privilege tool access, guardrails, and prompt-injection and tool-abuse mitigation.
  • Experience operating on the Databricks lakehouse platform is preferred.
  • Consumer e-commerce domain exposure is preferred.
  • Contributions to open-source agent frameworks or the Model Context Protocol ecosystem are preferred.
  • Ability to travel 10–20% annually.

Responsibilities

  • Own engineering, reliability, and lifecycle management of the enterprise agentic AI platform.
  • Provide end-to-end technical ownership of the enterprise agentic AI stack, including Amazon Bedrock AgentCore, Amazon Bedrock, and associated control-plane, governance, and cybersecurity platforms.
  • Design, develop, and maintain production AI agents and multi-agent orchestration patterns.
  • Manage agent lifecycle activities including versioning, evaluation, promotion, monitoring, and retirement; maintain offline evaluation sets, regression gates in continuous integration, and online quality monitoring of production traffic.
  • Develop Model Context Protocol servers, tool integrations, and secure application programming interface gateways.
  • Develop retrieval-augmented generation 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, including least-privilege agent identity, tool scoping and policy enforcement, guardrails, and defenses against prompt injection and tool abuse, in partnership with Cybersecurity.
  • Ensure production-grade reliability, observability, and monitoring of agentic workloads.
  • Own FinOps for the AI platform, including cost visibility, token and compute optimization, capacity planning, and chargeback or showback reporting.
  • Define and operate production-agent support models, including runbooks, escalation paths, and service-level agreements.
  • Participate in the on-call rotation for agentic workloads and in incident response alongside Cybersecurity and Global Technology Operations.
  • Champion infrastructure as code using Terraform, GitHub, GitHub Actions for continuous integration and delivery, and 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.
  • Publish engineering standards, a reference architecture, and reusable agent templates for production use.
  • Establish a promotion gate with documented evaluation, security, and cost criteria that every agent must clear before release.
  • Baseline unit cost per agent invocation and operate monthly chargeback or showback reporting.
  • Define service-level objectives, runbooks, and escalation paths for all production agents.
  • Hire and onboard two engineers during the first 12 months.

Desired Qualifications

  • Experience across a multi-model foundation-model estate, including model selection based on cost and quality trade-offs.
  • Experience operating on the Databricks lakehouse platform.
  • Consumer e-commerce domain exposure.
  • Contributions to open-source agent frameworks or the Model Context Protocol ecosystem.
  • Experience with Amazon Bedrock or Bedrock AgentCore or a comparable platform.
  • GitHub Actions experience.

About the Company

Live Nation Entertainment

Organizes live entertainment events and ticketing

Live Nation Middle East promotes and produces live events in the region, including concerts, comedy shows, and family entertainment. It signs talent, books venues, handles production, marketing, and ticketing to stage events that fans can attend. Its differentiators are a strong regional focus paired with a global network, major brand partnerships, and a commitment to sustainability. Its goal is to grow the Middle East live-entertainment market responsibly while expanding opportunities for artists, brands, and local venues.

Company size
10,001+
Company stage
IPO
Headquarters
Beverly Hills, CA
Founded
2005

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