AI Innovation Adoption Lead

Job Description

Job Description

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