Alto-Shaam, Inc
AI Adoption and Implementation Lead
Menomonee Falls, WI, United States
Sponsorship not specifiedDetected 27 days ago
LLMsRAGProject ManagementCRMERPIntellectual PropertyCustomer SupportLeadershipCommunicationSharePoint
About the role
- Join the Alto-Shaam Team Virtually Tour our Facility: https://app.cloudpano.com/tours/piGHjskWR Whether you're just beginning your career or have years of assembly experience-you've come to the right place.
- We want you on our team, because you believe in getting better every day.
- Our solutions have helped generations of foodservice professionals enhance their menus while providing a greater return on their investment.
Responsibilities
- Lead structured working sessions with cross-functional leaders (Finance, Operations, Engineering, Sales, HR, Customer Service) to identify process inefficiencies and high-impact AI opportunities.
- Support the AI Steering Committee in building and maintaining a prioritized, enterprise-wide AI opportunity backlog.
- Develop and present clear, actionable AI roadmaps to the VP of Technology and executive team, including recommendations on build, buy, or configure approaches.
- Lead end-to-end delivery of AI initiatives, including requirements gathering, tool/vendor selection, configuration or development, testing, deployment, and post-launch monitoring.
- Design, build, and maintain AI-driven workflows, including LLM agents, copilots, retrieval-augmented generation (RAG) systems, and intelligent automation solutions.
- Own delivery timelines and milestones, partnering with project managers to execute work, proactively mitigate risks, and resolve blockers.
- Partner with leadership to identify and develop a network of departmental AI Champions to drive adoption within each function.
- Design and deliver role-based AI training, including workshops, playbooks, and best-practice guidance for end users.
- Develop, implement, and maintain AI governance frameworks, including Acceptable Use Policy, Data Classification Guidelines, and Prompt Engineering Standards.
- Maintain an AI risk register, proactively identifying and mitigating risks related to data privacy, hallucinations, intellectual property, and regulatory compliance.
Skills
- 3-5 years of progressive experience in systems integration, automation, software development, or AI implementation.
- Hands-on experience with large language models (LLMs), AI-enabled workflows, and prompt engineering best practices.
- Experience integrating AI solutions with enterprise platforms via APIs (e.g., ERP, CRM, SharePoint, or similar systems).
- Demonstrated project management capability, including leading cross-functional initiatives and driving outcomes without direct authority.
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