Artificial Intelligence; AI Implementation Lead

Artificial Intelligence (AI) Implementation Lead

Join to apply for the Artificial Intelligence (AI) Implementation Lead role at McFarland Johnson

At McFarland Johnson (MJ), you'll own your future. We’re a 100% employee‑owned firm with 80 years of experience delivering innovative engineering, planning, environmental, technology and construction solutions that make a lasting impact on the clients and communities we serve. Certified as a Great Place to Work, our employee‑owners describe MJ's culture as collaborative, people‑focused, and supportive. Join us and help shape the future of infrastructure, together.

• Career Growth:
  Accelerate your professional career with opportunities to lead, learn, and expand your expertise.
• Collaborative Culture:
  Work alongside multidisciplinary teams that thrive on creativity, support, and teamwork.
• Employee Ownership:
  As a 100% ESOP, your contributions directly shape our shared success.
• Innovation & Impact:
  Work on projects that push boundaries, drive sustainability, and create real‑world solutions.
• Professional Development:
  From mentorship, ongoing technical training, and conferences we invest in your growth every step of the way.
• Work‑Life Balance:
  Enjoy flexible schedules, generous PTO, and a culture that values balance.
• Shape the next generation:
  Mentor emerging talent, share your expertise, and leave a lasting legacy in the industry.

• Build organization‑wide comfort and capability with generative AI tools (e.g., MJ Virtual Assistant, Copilot, ChatGPT, internal AI utilities).
• Ensure AI becomes a daily productivity and creativity tool – not a novelty.
• Connect AI opportunities to MJ’s business priorities: efficiency, communication, and innovation.
• Keep staff trained, informed, and confident as AI evolves.
• Coordinate closely with Director of Technology and Executive AI Council.
• Train the Executive AI team and keep them aware in real time of advances in AI tools relevant to our business.
• Lead short, hands‑on sessions (brown bags, demos, workshops) for all departments throughout the year.
• Rotate focus (e.g., "AI for Project Managers", "AI for Proposal Writing", "AI for Designers").
• Maintain a quick‑reference guide and short videos staff can use after training.
• Track participation and adoption progress by division.
• Serve as the go‑to resource for staff questions, examples, and safe‑use guidance.
• Curate real MJ examples of successful AI use for internal sharing.
• Help identify 2‑3 small, high‑impact pilot efforts per year (e.g., automating a repetitive internal task, improving a report workflow).
• Partner with IT and leadership to evaluate and scale what works.

• Percentage of staff trained or actively using AI tools.
• Documented time savings or productivity improvements.
• Employee confidence and feedback (through short surveys).
• Integration of AI tools into at least two company processes or deliverables per year.

• Bachelor’s degree in Information Technology, Computer Science, Engineering, Communications, or a related field.
• Equivalent industry experience may substitute for formal education if the candidate demonstrates strong applied AI and training skills.
• Continuing education or certifications in AI, data analytics, or digital transformation are a plus (e.g., Microsoft Copilot certification, Coursera/Google AI courses, or OpenAI training modules).
• 3+ years of relevant professional experience or coursework ideally within an engineering, architecture, or consulting environment.
• Demonstrated experience leading technology adoption or training initiatives – doesn’t need to be formal “AI experience,” but must show the ability to teach and translate tech for practical use.
• Hands‑on familiarity with generative AI tools ChatGPT, Copilot, Gemini, etc. and workflow integration into common platforms (Office 365, SharePoint, Teams, Bluebeam, etc.). Amazon Q for business most preferred.
• Proven ability to develop and deliver live training sessions, workshops, and self‑guided materials to mixed technical and non‑technical audiences.
• Strong communication and facilitation skills. Comfortable engaging groups, fielding questions, and demonstrating tools in…