Job Summary:
THE ROLE 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.
Location: Los Angeles preferred, with approximately 20% travel. We will consider remote candidates across North America, with travel up to 50%.
WHAT THIS ROLE WILL DO Business Engagement & Product Leadership- 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.
WHAT THIS PERSON WILL BRING - REQUIRED QUALIFICATIONS - 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.
WHAT THIS PERSON WILL BRING - PREFERRED QUALIFICATIONS - 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.
BENEFITS & PERKSOur motto is 'Taking Care of Our Own' through 6 pillars of benefits:
- HEALTH: Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or HSA)
- YOURSELF: Free concert tickets, generous paid time off including paid holidays, sick time, and personal days
- WEALTH: 401(k) program with company match, stock reimbursement program
- FAMILY: New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support
- CAREER: Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment
- OTHERS: Volunteer time off, crowdfunding match
The expected compensation for this position is:
$166,000.00 USD - $208,000.00 USD
** Pay is based on a number of factors including market location, qualifications, skills, and experience.
Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
