AI Enablement Director

About the Role

First Call is building an AI services practice focused on helping organizations safely adopt, govern, and apply AI to improve how people think, work, decide, and operate. Our approach spans AI strategy, approved tools, governance, workforce development, trusted organizational knowledge, agents, workflows, automation, and ongoing managed AI enablement.

We are looking for an AI Enablement Director to help mature a repeatable, scalable practice. This is a hands-on, player-coach role for someone who likes turning emerging technology into practical business capability.

Responsibilities

• Lead the day-to-day development and delivery of First Call’s AI Services practice, including working directly with clients to assess their current state, clarify where AI can create meaningful value, build practical roadmaps, and help them mature from scattered AI experimentation into a governed and increasingly AI-enabled organization.
• Turn what we learn into repeatable services, standards, intellectual property, and recurring managed services.
• Lead AI assessments, strategy sessions, workshops, and client roadmap engagements.
• Help organizations establish approved AI platforms and practical governance.
• Develop AI-capable leaders, employees, and internal AI Champions.
• Help clients organize trusted knowledge so AI can work with organizational context.
• Identify and deliver practical skills, GPTs, assistants, lightweight agents, workflows, and automations.
• Lead quarterly AI steering conversations and help clients prioritize the next highest-value initiatives.
• Coordinate with First Call Security Services, Professional Services, MSP, Finance, Marketing, and Business Development.
• Turn successful pilots and client work into documented standards, templates, delivery methods, and reusable intellectual property.
• Help define and continuously improve First Call’s Managed AI Enablement offering.
• Stay current on meaningful changes across ChatGPT/OpenAI, Microsoft Copilot, Claude, Gemini, automation platforms, and the broader AI ecosystem.
• Contribute as a member of the executive and management leadership team.

Qualifications

We care more about demonstrated capability than a perfect résumé. Strong candidates will likely bring experience in some combination of:

• AI enablement or generative AI.
• Technology consulting or advisory services.
• Managed services.
• Digital transformation.
• Business-process improvement.
• Organizational change.
• Automation.
• Knowledge management.
• Client-facing professional services.

You should be comfortable working directly with executives and business leaders and translating complex technology into practical business decisions. You should also have enough technical curiosity and fluency to work effectively with platforms such as ChatGPT, Microsoft Copilot, Claude, Gemini, Microsoft 365, Teams, SharePoint, Power Platform, APIs, integrations, and emerging AI technologies. A four-year degree can be helpful, but demonstrated ability matters more.

Skills

The right person will be exceptionally good at several of these areas:

• AI Practice Building: Turning client needs, pilots, and emerging capabilities into repeatable offerings and delivery standards.
• AI Strategy & Roadmaps: Translating business priorities, maturity, opportunities, and risks into practical action plans.
• Client Leadership: Helping executives gain clarity and confidence around AI without overwhelming them with technology.
• AI Enablement: Helping leaders and employees become capable users of approved AI platforms.
• Knowledge & Context: Helping organizations structure trusted knowledge that people and AI can actually use.
• AI-Enabled Work: Finding practical opportunities for assistants, agents, workflows, automation, and repeatable AI-assisted processes.
• Productization: Turning experimentation into standards, documentation, intellectual property, and scalable services.
• Cross-Functional Leadership: Knowing when to lead, when to coordinate, and when to bring in specialists.
• Commercial Thinking: Understanding that great services must create client value and healthy economics.
• Continuous Learning: Staying current without allowing the practice to become a collection of disconnected experiments.

What You’ll Love About This Role

• You naturally get energy from taking something new, messy, and rapidly changing and turning it into something people can actually use.
• You enjoy working with business leaders as much as you enjoy experimenting with technology.
• You can move comfortably between questions like: “What should this organization do with AI?” and “How do we actually make that happen?”
• You like teaching people, building systems, documenting what works, and improving things until they are repeatable.
• You are curious about AI without being hypnotized by it. You care more about useful outcomes than impressive demos. You understand that safe, scalable AI requires more than tools—it requires governance, capable people, trusted knowledge, good processes, and disciplined execution.

How You’ll Win

Success in this role will be visible in two primary outcomes:

• Healthy AI Services Economics: The practice consistently delivers against First Call’s approved gross-margin expectations.
• Happy, Progressing Clients: Clients report strong outcomes and steadily build greater AI capability over time.

You will also help improve recurring AI revenue, utilization, delivery consistency, documented standards, reusable intellectual property, and the successful execution of client AI roadmaps.

About First Call

First Call helps organizations run smoother, stay safer, and grow stronger. As a 50-plus person B2B firm, we work across IT, cybersecurity, compliance, marketing, and AI to help clients make better technology decisions and execute against one clear plan. Our philosophy is simple: people and outcomes first, technology second. We work shoulder-to-shoulder with our clients, build standards that scale, and focus on measurable progress rather than technology for technology’s sake.

AI is becoming an important part of that mission. We are not looking for someone to simply talk about what AI might become. We are looking for someone who wants to help build what comes next.

Pay

Total annual earnings for this role range from $90,000 to $120,000, based on experience and fit. Compensation is structured as 80% base salary and 20% variable compensation, with variable pay tied to agreed-upon AI services goals such as revenue, gross margin, client satisfaction, and practice growth.

Benefits

Comprehensive benefits and 401k.

Schedule

Full-Time, Exempt. Some travel required for client engagements, partner activities, and practice development.

Location: Missoula, MT