This is a remote position.
Advanced Access Staff is a leader in 24/7 staffing, workforce automation, and business transformation solutions across the United States and Canada. We help organizations modernize their operations through AI, automation, and scalable workforce systems.
We are expanding our AI division and seeking AI Implementation Specialists who can help small and mid-sized businesses adopt AI tools to reduce costs, increase efficiency, and automate workflows.
This role is for highly skilled, analytical, tech-driven individuals who understand how to implement AI into real business environments — not just “use ChatGPT.”
The AI Implementation Specialist is responsible for assessing client workflows, identifying automation opportunities, designing AI-powered solutions, and implementing tools using platforms like:
OpenAI / ChatGPT
Make.com / n8n
Zoho AI
GoHighLevel automations
Zapier (optional)
Custom scripts (Python/JS if needed)
You will work directly with clients, understand their business problems, build AI solutions, and execute end-to-end implementation.
This is a high-impact, client-facing, and technical role.
RequirementsAI Workflow Design
Analyze client operations to identify opportunities for automation
Create workflow diagrams, process maps, and solution architecture
Translate business needs into AI-powered systems
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
