Senior AI Specialist

ABOUT THIS ROLE

LVT is looking for a hands-on AI practitioner to own and execute our AI initiatives across the organization. As Senior AI Specialist, you will build and ship production AI systems, shape how LVT adopts AI at scale, and partner cross-functionally to turn AI from an experiment into a competitive advantage. This is an individual contributor role reporting into IT leadership — you’ll work directly with Data Engineering and the Automation Integrations team to build RAG pipelines, develop AI policy, rationalize our AI tool investments, and embed intelligent components within our automation workflows.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

• Execute LVT’s AI adoption strategy, owning the roadmap of AI initiatives and driving measurable business value across departments.

• Develop and own LVT’s internal AI policy framework, setting standards for responsible AI use, governance, and organizational readiness.

• Audit and rationalize the AI capabilities embedded across LVT’s existing tech stack — driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend.

• Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering, translating business needs into production-ready AI solutions.

• Architect the AI strategy at the intersection of automation — defining where and how AI augments workflows built on platforms like Workato and Oracle Integration Cloud (OIC).

• Design and build the AI components embedded within automation flows, partnering with the Automation Integrations team to ensure seamless, intelligent execution.

• Champion AI literacy and adoption across LVT, partnering with business leaders to identify high-impact opportunities and drive measurable outcomes.

• Communicate AI strategy and progress to executive leadership, translating technical direction into clear business outcomes.

OUR IDEAL CANDIDATE

• AI Practitioner First: You have built and shipped LLM-based systems in production — not just used AI-powered SaaS tools. Strategy matters, but your hands are in the code.

• Proven AI Depth: You have substantive, hands-on experience building and deploying LLM-based solutions — RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at work does not qualify. We need someone who can build the systems, not just use them.

• Platform Fluent: You understand enterprise automation platforms (Workato, OIC, or equivalent) and can reason clearly about where AI fits within complex integration flows.

• Tech Stack Evaluator: You know how to assess embedded AI features across SaaS and enterprise tools — cutting through vendor marketing to determine what’s actually delivering value, what’s redundant, and what should go.

• Policy-Minded: You’ve developed or contributed to AI governance frameworks, usage policies, or organizational AI standards — and you understand the stakes of getting it right.

• Cross-Functional Influencer: You build trust with engineering, operations, and executive stakeholders alike, and know how to move initiatives forward without direct authority over every team involved.

• Data-Environment Comfortable: You’re experienced working within data platforms (e.g., Snowflake, Cortex) and partnering with data engineering teams to bring AI models from concept to production.

• Outcome-Oriented: You measure your work by business impact — adoption rates, efficiency gains, cost reduction — not by the sophistication of the model you shipped.