DIRECTOR OF AI
About the role
This is a builder role. You'll partner with the CEO, CSO, and executive team to set the AI vision, then run the practice that delivers against it — leading a small, focused team, coaching our consultants and engineers, and turning deep manufacturing and distribution expertise into productized AI offerings that customers pay for. The foundation is already in place (AI Council, Practitioner Academy, 100+ internal skills, active tooling, and an approved budget), but the path forward is still being shaped, and we need a leader to help shape it.
Responsibilities
- Partner with the CEO, CSO, and ELT to shape and continuously refine the AI strategy. Bring your own point of view on where AI is going in mid-market ERP — where the moat is and where to place bets — and translate market and customer signals into a roadmap the team can execute against. You are our eyes on the AI landscape; push back when we're missing something.
- Lead a small, focused AI team and hire 1–2 business analysts, agent engineers, or AI experts in year one, adding fractional specialists as needed. Coach our consultants and engineers as they learn to build agents, ERP customizations, and productized IP grounded in their industry expertise. Run the AI Practitioner Academy and grow the Skill Library so AI fluency becomes a baseline expectation, not a specialization.
- Run the customer feedback loop — sit in on flagship engagements, listen for what customers actually need, and feed it back into the roadmap. Deliver the productized agent roadmap, building 3–5 industry-specific agents in year one tied to manufacturing and distribution workflows, and partner with Sales and Delivery on customer-facing AI engagements from scoping through deployment.
- AI Spend Management (FinOps): Own all internal AI spend, building cost dashboards, model-routing policies, and consumption governance. Establish token discipline as a team practice and build AI FinOps into an external service line — assessment, governance, model selection, value tracking — turning internal discipline into recurring customer revenue.
- Idea-to-Production Factory: Run the intake-to-production pipeline in partnership with the AI Council: prototype, evaluate, productize, retire. Kill quickly, scale what works, and maintain the submission process, value-per-token forecasts, and reliability standards.
- Tool, Architecture & Reliability Standards: Own the decision framework for when to use Claude/CoWork, Velocity Suite, Acumatica's native AI, or open-weight models, and maintain architecture standards across the team. Make reliability an economic discipline: every agent ships with bounded loops, evaluation criteria, and human-in-the-loop checkpoints.
Qualifications
- Hands-on AI building. Direct experience with Claude/Anthropic, agent frameworks, RAG, and evaluation systems — you can architect and ship, not just delegate.
- Able to read and write code and make the architecture calls, including wiring agents into ERP, CRM, and operational systems through clean APIs and trustworthy data.
- Team leadership and coaching across both technical and functional disciplines, developing capability in others rather than hoarding it.
- Strong commercial instincts — comfortable with margin profiles, pricing conversations, and customer-facing engagements.
Skills
- Working knowledge of the AI agent landscape — agent frameworks, RAG and retrieval, and evaluation tooling — and how to apply it to real business problems.
- Command of AI cost economics: token economics, model tiering and routing, caching, and consumption tied to a real budget.
- Familiarity with the reliability basics every production agent needs: bounded loops, evaluation criteria, monitoring, and human-in-the-loop checkpoints.
Benefits
- Remote work, with regular customer and office travel.
Pay
$200,000.00 - $240,000.00 Annually
Schedule
Full-Time
Details
Position Description: You ship production agents, not demos. You bring your own point of view on where AI is going in mid-market ERP, you can architect and write code rather than just delegate, and you have the commercial instincts to turn internal capability into a defensible revenue line. As the practice scales and delivers, this role grows into VP, AI Strategy & Practice or Chief AI Officer.
Physical Requirements
- Prolonged periods of sitting at a desk and working on a computer.
- Regular use of hands and fingers to operate a computer, keyboard, and other office equipment.
- Able to communicate clearly and exchange accurate information consistently, in person and through virtual channels.
- Occasional standing, walking, bending, and reaching.
- Ability to lift up to 15 pounds occasionally (e.g., laptop bag, materials for travel or on-site work).
Disclaimer
This job description describes the general nature and level of work performed by the employee assigned to this role. It is not an exhaustive list of all duties, responsibilities, and qualifications required. Duties, responsibilities, and activities may change at any time, with or without notice, at the discretion of WM Synergy. This job description does not constitute a contract of employment. Employment with WM Synergy is at-will, meaning either the employee or the company may terminate the employment relationship at any time, with or without cause or notice, to the extent permitted by law.