Forward Deployed Engineer (Enterprise AI)

Live Nation; Beverly Hills (CA); On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with match

Concert tickets

Paid time off

Parental leave

Tuition reimbursement

Volunteer time off

Job summary

Live Nation is seeking a Forward Deployed Engineer – Enterprise AI to lead production AI agents across the enterprise, working closely with senior stakeholders to translate business problems into measurable AI products. You will design, build, and ship agents on Bedrock AgentCore and Databricks, ensuring governance, security, and ROI alignment.

You will champion adoption, train users, and present outcomes to executives, while maintaining enterprise-grade standards and collaboration with

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)
• Working data literacy — SQL and comfort operating in a lakehouse environment (Databricks 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

Responsibilities

• Engage with senior business stakeholders to identify high-impact AI use cases and translate them into defined agent products with measurable ROI.
• Design, build, and deploy production AI agents on Amazon Bedrock AgentCore and Databricks, with secure, observable, and cost-efficient delivery.
• Lead product thinking and governance alignment with enterprise architecture, security, and cybersecurity standards.
• Collaborate with Data Engineering, Cybersecurity, and Operations to ensure governance, privacy and compliance.
• Define success metrics and build evaluation harnesses (offline and online) for each agent.
• Drive adoption through training, demonstrations, and clear value articulation to executive audiences.

Skills

Python

SQL

Databricks

Terraform

CI/CD

GitHub Actions

AgentCore

Bedrock

AI/ML

Tools

Amazon Bedrock

Bedrock AgentCore

Databricks

Terraform

GitHub

Job 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
• 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
• 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

• HEALTH: Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
• WEALTH: 401(k) program with company match, Stock Program Reimbursement
• YOURSELF: Paid time off policy including holidays, sick time, and day off for your birthday, free concert tickets
• FAMILY: New parent programs & support including caregiver leave and baby bonus, infertility support
• CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings
• OTHERS: Volunteer time off, crowdfunding network

Able to present technical trade-offs, cost and outcomes directly to executive and non-technical audiences, and to defend them under challengeExecutive presence — excellent communication and interpersonal skills with the ability to engage senior business leaders and non-technical audiencesDemonstrated product thinking: ability to scope, prioritize, and measure the impact of technical solutionsMinimum 5 years of experience in software engineering, solutions engineering, or technical product roles, with a record of delivering customer- or stakeholder-facing solutionsMinimum 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 platformComfort operating independently in ambiguous, fast-moving environmentsStrong 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 preferredExperience in live entertainment, ticketing, or large-scale consumer e-commerce preferredChange management and user enablement experience driving adoption of new tooling at enterprise scale preferredExperience working across a multi-model foundation-model estate and selecting models on cost/quality trade-offs preferred