Lead Engineer, AI Development Experience
United States of America
Full Time
1 hour ago
$152,000 - $190,000 USD
H1B Sponsor Likely
Key skills
AI developmentGenerative AI toolingLLM APIsPrompt engineeringAgent frameworksAI orchestration platformsAPI developmentSDK developmentCLI tools developmentData engineeringRDBMSSparkFlinkKafkaElasticsearchData MeshDatabricksMonitoringSecurity engineeringReliability engineeringTechnical coachingenablementMulti-project managementAIGenerative AILLMData EngineeringBIJiraAgileCommunication
About this role
Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders in ticketing and live events. The Lead Engineer for AI Development Experience will architect and build foundational AI tooling and platforms, enabling teams to create and manage AI applications and workflows, while ensuring production-grade reliability and security.
Responsibilities:
- Design and build tooling including APIs, SDKs, CLI tools, and workflows that democratize AI capabilities for both technical and non-technical users
- Establish production-grade standards for reliability, observability, security, and operational excellence across all AI implementations
- Coach and lead cross-functional teams in implementing AI-augmented processes and workflows in their daily operations
- Create documentation, best practices, and enablement materials that accelerate AI adoption and reduce time-to-value
- Build feedback loops and measurement frameworks to track AI adoption, effectiveness, and ROI across the organization
- Collaborate with Architecture, Data Engineering, Security, and other engineering functions to ensure smooth AI tooling deployments and maintenance
- Work with external third-party vendors to assess new partnership opportunities and/or evaluate existing solutions
Requirements:
- Strong engineering background (8+ years) with proven ability to architect and build scalable platforms, CLIs, SDKs, APIs, and other developer tools
- 2+ years hands-on experience building generative AI tooling including LLM APIs, prompt engineering, agent frameworks, and AI orchestration platforms; experience building full stack applications is a major plus
- Principal-level engineering judgment with ability to balance innovation, pragmatism, and production requirements; previous Data Engineering, BI, Analysis, and/or Full Stack Engineering experience is a plus
- Deep fundamental data engineering knowledge and architecture knowledge and experience, including full command of RDBMS, Spark/Flink, Event Bus (Kafka), Lucene (Elasticsearch), and Data Mesh implementation
- Experience in Databricks, including observability, monitoring, security, and reliability engineering practices on workflows and persistent data
- Expertise documenting tools and data products intended for self-serve usage by non-technical users
- Strong written and oral communication skills to effectively interact and facilitate discussions with cross functional teams across the business
- Comfortable juggling multiple concurrent projects and tracking them all correctly in JIRA or other agile work management tools
- Willingness to work with cross-functional teams across time-zones and odd hours as necessary
- Technical coaching and enablement skills with ability to teach and guide teams through complex technology adoption
- Versatility to work across disciplines and unlock whatever capabilities are needed to make products successful; no job too big or too small mentality
- Optimism with drive, drive, drive
- Passion for live music and events is a plus