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Artificial Intelligence; AI Implementation Lead

Job in Portsmouth, Rockingham County, New Hampshire, 00215, USA
Listing for: McFarland Johnson
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: 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.

Why Join Us?
  • 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 so you can thrive both professionally and personally.
  • Shape the next generation:
    For experienced professionals, MJ offers the chance to mentor emerging talent, share your expertise, and leave a lasting legacy in the industry.
Key Responsibilities
  • 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 as close to real time as possible 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 to 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.
Success Measures
  • 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.
Qualifications
  • 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…
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