AI Innovation Adoption Lead

JOB DESCRIPTION: Education & Experience: A bachelor�s degree in Technology, Construction Management, or a related field. 3-6 years experience with AI, technology, data, analytics, and various software. Summary of 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. Primary 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 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. Required Skills & Expectations: 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 Preferred: Experience working within or alongside enterprise IT or software delivery teams Preferred: Familiarity with change management or technology adoption frameworks Preferred: Experience with low-code/no-code platforms in addition to traditional development environments