AI Integration Consultant

The BuildClub; United States; On-site; USD 180,000 - 230,000; Full time

Job summary

The BuildClub is seeking an experienced AI Integration Lead to own end-to-end client deployments, from discovery to handoff to operators. You will be the senior face of BuildClub in client engagements, working with mid-market and PE-backed operators where AI lands in real workflows from day one.

You will run discovery, define deployment plans, and own the integration roadmap for 1–3 engagements at a time, pairing with designers and engineers to ship working systems and hand off a practical

Qualifications

• Eight+ years operating inside or alongside mid-market businesses.
• Hands-on familiarity with LLMs and AI tools in production.
• Proven portfolio of deployed projects, not just slides.
• Strong judgment on which problems to automate.
• Preference for working with operators over executives.

Responsibilities

• Run client discovery and translate operator pain into a deployment plan.
• Own the AI integration roadmap for 1–3 engagements at a time.
• Collaborate with workflow designers and engineers to ship working systems.
• Write the playbook the client will use after handoff.
• Know when to push back on requests that won't move the business.

Skills

AI deployment experience

Production LLMs

Shipped projects portfolio

Automation judgment

Operator-focused

Job description

Embed inside client deployments and own the integration end-to-end — from data plumbing to handoff to the operator who'll run it.You'll be the senior face of BuildClub inside a client engagement. We work with operators in mid-market and PE-backed businesses where AI has to land in a real workflow on day one. Your job is to make sure it does.

What you'll do

• Run client discovery and translate operator pain into a concrete deployment plan
• Own the AI integration roadmap for one to three engagements at a time
• Pair with workflow designers and engineers to ship working systems, not slides
• Write the playbook the client's team uses after handoff
• Know when to push back on a request that won't move the business

What you bring

• Eight or more years operating inside or alongside mid-market businesses (consulting, ops leadership, or PE portfolio work)
• Hands-on familiarity with how LLMs and AI tools actually behave in production
• A portfolio of things you've shipped, not slides you've delivered
• The judgment to know which problems are worth automating and which aren't
• A preference for working with operators over executives