Lead, AI Engineer

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.
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TheRoyalCaribbeanGroup’s
AI & Analytics Team has an exciting career opportunity for a full time Lead, AI Engineer reporting to the Director, AI Engineering.
The position is onsite and based in Miami, Florida.
The position is also not eligible for work authorization sponsorship.
Position Summary:
We are seeking a Lead, AI Engineer to set engineering standards for Gen AI across Royal Caribbean Group and to lead delivery of projects that span multiple brands and business functions. You will join the GenAI Solutions Engineering team within AI & Analytics and work closely with the GenAI Center of Excellence (CoE). You will also collaborate closely with business users to understand their requirements and quickly build prototypes they can react to.
You will be a power user of agentic coding tools such as Claude Code, and you will turn that fluency into shared skills, plugins, and standards that make every engineer and agent on the team faster and more reliable. You will define the testing and evaluation practices that keep Gen AI applications and agents trustworthy in production, then prove those practices on enterprise-wide initiatives by working with business stakeholders, data engineers, data scientists, platform and security teams, and product managers.
Essential Duties and Responsibilities
AI-Enabled Engineering & Standards
Be a daily, advanced user of agentic coding tools (Claude Code, GitHub Copilot, Cursor, and similar) and set enterprise practices for them: context engineering, project instruction files (CLAUDE.md / AGENTS.md), plan-then-implement workflows, subagents, parallel sessions, hooks, and permission and sandbox settings.
Design, build, and maintain skills, plugins, slash commands, subagents, hooks, and MCP servers that encode our standards and workflows (for example scaffolding, ticket creation, PR review, test and eval generation), and distribute them to engineers through a versioned, shared plugin catalog.
Publish engineering standards as living, agent-readable instructions that both people and coding agents follow, and keep them short, tested, and current as tools and models change.
Define an AI-assisted delivery lifecycle: spec-driven development, small reviewable changes, automated AI-assisted code review, and clear human accountability for everything that ships, with guardrails for security, secrets, data classification, and IP.
Establish reference architectures, project templates, and reusable accelerators that are agent-ready, so teams across brands and functions start from a secure, tested, production-ready baseline.
Measure the impact of AI-assisted engineering (cycle time, rework, defect rates, token cost) and use the evidence to refine tools, prompts, and practices.
Partner with the GenAI CoE to publish standards, run design reviews, and retire patterns that no longer serve the enterprise.
Testing & Quality Engineering
Set the testing strategy for Gen AI systems, including unit, integration, contract, end-to-end, regression, load, and security testing for APIs, retrieval pipelines, agents, and tool integrations.
Use coding agents to generate and maintain tests at scale, with human-reviewed intent and checks such as mutation testing to confirm the tests actually catch defects.
Build test harnesses that handle non-deterministic behavior, including mocked model and tool responses, recorded fixtures, and dete

Skills
Git

Experience
8+ yrs