Artificial Intelligence

• Conduct training sessions for SNHU community members to ensure use of AI tools and technologies
• Provide support in the form of hands-on guidance and consultation
• Help optimize existing AI-driven processes to improve operational and educational efficiency
• Collaborate with cross-functional teams to support AI Proofs of Concept, projects, and product exploration
• Assist in brainstorming and planning for faculty and staff ideas related to AI integration
• Develop training materials, guides, and resources to support AI tool adoption across the institution
• Attendance, punctuality, and reliability are essential functions of this role
• Other responsibilities as assigned

AI Integration Specialist

• Design and deliver scalable AI/ML solutions addressing high-value use cases such as forecasting, optimization, predictive maintenance, and operational automation
• Identify and prioritize AI opportunities aligned with strategic business objectives and operational KPIs.
• Translate business needs into robust data models, algorithms, and technical architectures.
• Lead model lifecycle management: data exploration, site specific specialization, training, validation, and deployment.
• Embed AI solutions into business workflows (dashboards, applications, automation pipelines) to ensure adoption and sustained impact.
• Partner cross-functionally with Digital, Engineering, IT, and Operations teams to ensure seamless integration and execution.
• Establish best practices in data quality, governance, and compliance.
• Continuously monitor model performance and drive iterative improvements.
• Stay at the forefront of AI innovation, bringing emerging technologies into practical, scalable use.

Ice Cream AI Specialist / AI Expert

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Work remotely with individuals and families to help identify life insurance and annuity solutions that fit their needs.
• Educate clients on financial protection options in a clear, ethical, and professional way.
• Build and manage your own pipeline through referrals, marketing, networking, and follow-up.
• Attend virtual training, mentorship, and team development sessions.
• Grow a personal book of business while building long-term client relationships.

Sales AI

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• Set the multi-year strategy for ML, data, and BI
• Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization
• Manage managers and tech leads
• Run performance management, career development, and retention
• Operate as a peer to VP-level leaders across various functions
• Own the architecture, deployment, and operation of the production ML

Artificial Intelligence jobs in Vermont

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AI Integration Specialist

Ice Cream AI Specialist / AI Expert

VP, Enterprise AI Enablement

Sales AI

AI Engagement Manager

VP of AI, ML and Data Strategy