AI Innovation Adoption Lead

Pogue ConstructionMcKinney, TX

About The Position

The AI Innovation & Adoption Lead will lead Pogue's emerging AI and edge innovation for the enterprise AI initiative. The AI Lead will take leadership's vision and push the envelope; scouting new AI capabilities, proving them through rapid prototypes and pilots, then handing proven concepts to the delivery teams to build and scale.

Requirements

  • A bachelor’s degree in Technology, Construction Management, or a related field.
  • 3-6 years experience with AI, technology, data, analytics, and various software.
  • Strong organizational and administrative skills.
  • Effective verbal and written communication skills.
  • Ability to work with cross-functional teams and liaise between departments.
  • Attention to detail and strong problem-solving skills.
  • Ability to maintain confidentiality and professionalism.
  • Flexibility and adaptability in a fast-paced environment.
  • Strong time management and organizational skills.
  • Demonstrated ability to build working prototypes using modern AI tools and APIs (LLMs, agents, automation platforms)
  • Fluency with prompt engineering, model evaluation, and AI tooling ecosystems (e.g., OpenAI, Anthropic, LangChain, vector databases, or equivalents)
  • Experience running structured pilots or proofs-of-concept with clear success criteria
  • Strong written and verbal communication – able to translate technical findings for non-technical stakeholders at the ELT level
  • Comfort working in ambiguity with limited oversight

Nice To Haves

  • Experience working within or alongside enterprise IT or software delivery teams
  • Familiarity with change management or technology adoption frameworks
  • Experience with low-code/no-code platforms in addition to traditional development environments

Responsibilities

  • Emerging AI Scouting: Track, evaluate, and pressure-test new AI capabilities (models, agents, tooling) against real Pogue problems. Maintain a living view of the AI landscape and surface what's worth pursuing before the market catches up
  • Rapid Prototyping & R&D: Build proofs-of-concept fast, push the envelope on what's possible, and de-risk frontier capabilities before enterprise investment. Document lessons learned.
  • Edge Innovation & Piloting: Turn promising ideas into working pilots that demonstrate clear and measurable value. Design pilots to fail fast and cheap where they don't hold up, and amplify those that do.
  • Vision Into Proof: Turn leadership's vision into working prototypes that prove real value. Translate ambiguous vision into something to put in front of an executive.
  • Hand off & partner: Transition proven concepts to the Solutions Architect and delivery teams to build, harden, and scale without losing the intent of the original solution.
  • Technical guidance: Mentor AI champions, power users, and analysts through expertise and influence.
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