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AI Solutions Factory Lead

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: GEI Consultants, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

AI Solutions Factory Lead

Join to apply for the AI Solutions Factory Lead role at GEI Consultants, Inc.

Company Overview

Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow. We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges. With several offices across North America, we offer a range of engineering, science, and technical consulting services.

Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. Employee-owned. Employee-focused. As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.

Our company culture is driven by our 4 Cs – Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion.

Responsibilities
  • Lead the overall operation and execution of GEI’s AI Solutions Factory, ensuring consistent delivery, quality, and throughput across AI initiatives.
  • Manage, coach, and develop a multidisciplinary AI delivery team, including solution architects, AI engineers, and full stack engineers.
  • Define, prioritize, and sequence AI use cases in collaboration with business, digital, and IT stakeholders, maintaining strong intake discipline and delivery focus.
  • Support the creation of a digital roadmap for GEI, from concept to deployment: prioritize initiatives, build business cases, manage change, and scale digital transformation.
  • Establish and maintain delivery processes, standards, and performance expectations for AI solution development and deployment.
  • Be accountable for the quality, usability, and production readiness of AI solutions delivered by the team, ensuring solutions meet defined user requirements, architectural standards, and enterprise expectations.
  • Ensure AI solutions comply with enterprise governance, security, privacy, and responsible AI standards.
  • Partner closely with IT leadership to align AI innovation with enterprise platforms, data architecture, cybersecurity, and operational requirements.
  • Track delivery progress, risks, and outcomes, and communicate status, insights, and recommendations to executive stakeholders.
  • Ensure reusable patterns, components, and delivery practices are captured and leveraged to accelerate future AI initiatives and reduce duplication.
Qualifications
  • 15+ years of relevant experience in digital, technology, or engineering delivery roles, including at least 5+ years leading high-performing, multidisciplinary teams.
  • Demonstrated experience leading AI, advanced analytics, or digital solution delivery in complex enterprise environments.
  • Proven ability to manage distributed teams and stakeholders across multiple time zones, with comfort leading in remote and hybrid environments.
  • Strong understanding of AI solution architectures, including cloud-based AI platforms, data foundations, model lifecycle considerations, and enterprise integration.
  • Familiarity with Microsoft-centric AI and cloud platforms, such as Azure AI services, Azure OpenAI, Copilot Studio, large language models (LLMs), and agent-based or workflow-driven AI solutions.
  • Experience partnering with IT, security, and governance teams to ensure digital initiatives are both innovative and technically sound.
  • Experience leading digital initiatives using a mix of Agile, Scrum, product-oriented, and traditional delivery models, adapting approach based on risk, maturity, and stakeholder needs.
  • Exceptional communication and stakeholder management skills, with experience engaging executive leadership and translating technical concepts into business-relevant outcomes.
  • Preferred experience delivering digital, data, or AI-enabled solutions…
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