Forward Deployed Engineer, Enterprise AI

Live Nation Entertainment • Beverly Hills, CA

3d • $166,000 - $208,000 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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)
• Free concert tickets
• Generous paid time off including paid holidays, sick time, and personal days
• 401(k) program with company match
• Stock reimbursement program
• New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support
• Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment
• Volunteer time off
• Crowdfunding match

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed