Senior AI Specialist

LVT (LiveView Technologies); American Fork (UT); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive health benefits

Support for families

Financial future investments

Job summary

LVT (LiveView Technologies) is seeking an Operational AI Strategy Manager to spearhead the company-wide AI transformation. This role involves defining AI adoption strategies, developing internal policies, and collaborating with cross-functional teams to create scalable AI solutions. Ideal candidates will have hands-on AI experience and a strong understanding of enterprise automation. Located at the headquarters in American Fork, UT, LVT emphasizes a work-life balance with a comprehensive benefits package.

Qualifications

• Experience in writing AI strategies and deploying AI solutions.
• Hands-on experience with retrieval-augmented generation (RAG) and model fine-tuning.
• Understanding enterprise automation platforms and integration flows.

Responsibilities

• Define and drive LVT’s enterprise AI adoption strategy.
• Develop internal AI policy framework for responsible AI use.
• Audit and rationalize AI capabilities across existing tech stack.

Skills

AI strategy development

Hands-on AI implementation

Enterprise automation fluency

Policy framework development

Cross-functional collaboration

Data platform experience

Tools

Workato

Oracle Integration Cloud

Snowflake

Job description

About This Role

LVT is looking for a strategic, hands‑on expert to own our company‑wide AI transformation. As Operational AI Strategy Manager, you will define how LVT adopts and scales AI across every function, building the models, policies, and cross‑functional partnerships that transform AI from an experiment into a competitive advantage. This senior individual‑contributor role has broad organizational reach, executive visibility, and is based at our American Fork, UT headquarters.

Role Responsibilities

• Define and drive LVT’s enterprise AI adoption strategy, establishing a clear roadmap for how AI delivers business value across every department.
• Develop and own LVT’s internal AI policy framework, setting standards for responsible AI use, governance, and organizational readiness.
• Audi t 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

• Strategic and technical: You can write a boardroom‑ready AI strategy in the morning and build a RAG pipeline in the afternoon — you’re equally comfortable in both modes.
• AI practitioner: You have hands‑on experience building and deploying LLM‑based solutions, including retrieval‑augmented generation (RAG), vector databases, and model fine‑tuning or prompt engineering at scale.
• 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.

Benefits

We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office.

Equal Opportunity Employer

All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.