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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer, Enterprise AI - **Company:** Live Nation Entertainment, Inc. - **Location:** Beverly Hills, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $166,000.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cyber Security, Continuous Integration, Information Engineering, Data Infrastructure, Github, Internet Recruiting, Python (Programming Language), Network Control, Software Engineering, SQL Databases, Large Language Models, Virtual Agents, Terraform, Databricks - **Published:** September 5, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27995273/Forward-Deployed-Engineer-Enterprise-Ai-California-Beverly-Hills-7290 ## About the Role 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!, * 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. * Strong proficiency in Python; working knowledge of Terraform and CI/CD (GitHub Actions preferred). * Demonstrated product thinking: ability to scope, prioritize, and measure the impact of technical solutions. * Able to present technical trade-offs, cost and outcomes directly to executive and non-technical audiences, and to defend them under challenge. * Working data literacy - SQL and comfort operating in a lakehouse environment (Databricks preferred) * Executive presence - excellent communication and interpersonal skills with the ability to engage senior business leaders and non-technical audiences. * Comfort operating independently in ambiguous, fast-moving environments., * 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 MEASURES OF SUCCESS - FIRST 12 MONTHS * 3 agent use cases taken from discovery to production with documented business value. * Defined success metrics and an operating evaluation harness for every agent shipped. * Documented adoption against target user population for each deployed agent. * Reusable patterns and templates contributed back to the Agentic AI Engineering platform. ## Description Live Nation Entertainment is seeking a Forward Deployed Engineer - Enterprise AI to serve as a product and technical lead embedded with business stakeholders across the enterprise. This role reports directly to the Sr Director - Data & AI Engineering and is the bridge between business problems and production AI agents. The Forward Deployed Engineer combines business acumen, product thinking, and agentic AI technical capability into a single role. This leader will engage directly with senior business stakeholders to focus on high-impact AI use cases, then design, build, and ship production agents on the enterprise agentic AI stack - AWS Bedrock AgentCore, Amazon Bedrock, Databricks and associated control plane, governance & cybersecurity platforms. This role carries responsibility for measurable value delivery: taking AI opportunities from discovery through production deployment and adoption, ensuring alignment with enterprise architecture, security, and governance standards. The role owns the use case from discovery through first production release and adoption. It builds on the enterprise agentic AI platform but is not accountable for platform uptime or the shared-service AI roadmap, which sit with the Agentic AI Engineering team., * Partner directly with business unit leaders to discover, scope, and prioritize AI agent use cases with clear ROI. * Translate ambiguous business problems into well-defined agent products with success metrics. * Present solutions, demos, and outcomes to executive audiences with clarity and confidence. * Drive adoption: train users, gather feedback, and iterate rapidly toward measurable business value. Agent Engineering & Delivery * Design, build, and deploy production AI agents on Amazon Bedrock AgentCore (Runtime, Gateway, Memory, Identity, Observability), Amazon Bedrock and Databricks, together with the associated control plane, governance and cybersecurity platforms. * Develop tool integrations, MCP servers, RAG pipelines, and context engineering tailored to each use case. * Define success metrics and build the evaluation harness for each agent - offline eval sets, rubric and LLM-as-judge scoring, regression gates in CI, and online quality monitoring of production traffic. * Design for least-privilege agent identity, tool-scoping and guardrails from the outset, including defences against prompt injection and tool abuse, in line with Cybersecurity standards. * Build with enterprise standards: Python, Terraform for infrastructure, GitHub and GitHub Actions for CI/CD. * Ensure every deployed agent is secure, observable, cost-efficient, and supportable, in partnership with the Agentic AI Engineering team Enterprise Collaboration * Work alongside Data Engineering to leverage the Databricks lakehouse and enterprise data assets. * Coordinate with Cybersecurity, Architecture, and Operations to meet governance, privacy, and compliance requirements. * Contribute learnings back to reusable templates, patterns, and platform capabilities., We aspire to build teams that reflect and support the fans and artists we serve. Every day we aim to promote environments where everyone can be themselves, contribute fully, and thrive within our company and at our events. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, intersectionality, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case-by-case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agents and AI in Enterprise - Dona Sarkar & Patrick Chanezon](https://www.wearedevelopers.com/videos/1893-agents-and-ai-in-enterprise-dona-sarkar-patrick-chanezon) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)