AI Integration Lead

SpeedVegas•Sloan, NV

1d•Onsite

About The Position

Speed Vegas is looking for a hands-on AI Integration Lead to help us identify, prioritize, and implement practical AI solutions across the business. This role is for someone who can understand how a company operates, spot where AI can create real value, and help turn those opportunities into concrete improvements. The right person will combine business judgment, AI fluency, systems thinking, and execution. This is not a research-only or advisory-only role. We are looking for someone who can work closely with leadership and department teams to improve workflows, reporting, productivity, decision-making, and overall operating performance.

Requirements

Proven experience implementing AI solutions in real business environments
Strong ability to connect business needs with practical AI use cases
Experience with workflow automation, systems integration, and process improvement
Strong understanding of LLMs, AI tools, prompt design, and AI-assisted workflows
Familiarity with platforms such as ChatGPT, Claude, Microsoft Copilot, Gemini, and related tools
Experience with APIs, SaaS tools, automation platforms, and system integrations
Strong communication skills and ability to work across teams
Hands-on mindset with strong execution ability

Nice To Haves

Internal knowledge bases or retrieval-based AI systems
CRM, booking systems, and customer workflow integrations
Automation platforms such as Zapier, Make, n8n, or similar
Reporting and dashboard environments
Marketing technology, SEO, GEO, content workflows, and LLM optimization
AI governance, quality control, data privacy, and human oversight
Hospitality, tourism, entertainment, e-commerce, or other operationally complex service businesses

Responsibilities

Assess current systems, workflows, and processes to identify strong AI opportunities
Build a practical AI roadmap based on business value, feasibility, and ROI
Help implement AI solutions across sales, marketing, customer experience, reporting, and internal operations
Identify opportunities for automation, copilots, AI agents, internal knowledge systems, and workflow improvements
Improve reporting, decision support, and productivity through better use of AI and automation
Work closely with leadership and department heads to align AI initiatives with business priorities
Help teams adopt AI tools through documentation, SOPs, rollout plans, and practical training
Establish metrics and help measure the impact of AI initiatives over time