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

• 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

• Hands-on Automation & AI Development within HR
• Support the hands-on configuration, deployment, documentation, and maintenance of automation and AI-enabled solutions
• Contribute to the design and implementation of intelligent agents and workflows
• Monitor solution performance and recommend enhancements to improve effectiveness over time
• Contribute to the design of future‑state HR processes and ways of working that embed automation and AI responsibly
• Map and analyze HR operational processes to identify inefficiencies, variation, and opportunities for automation or AI enablement
• Apply structured improvement methodologies (e.g., process mapping, lean principles, design thinking) to redesign workflows and standard work
• Lead or support small‑ to medium‑scale automation and AI initiatives from concept through deployment and adoption
• Partner closely with HR, HR Technology, IT, and change stakeholders to support successful implementation and adoption
• Support change management activities including impact analysis, stakeholder engagement, and adoption tracking
• Partner with functional HR teams to understand business needs and identify opportunities to apply automation and AI

HR Automation & AI Specialist

• 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

• Promote Mashgin’s Touchless Checkout System in New Hampshire.
• Show people how to use the technology and debug any issues that arise.
• Work part time, flexible hours, and take time off during holidays.

AI Data Labeler

• 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

VP of AI, ML and Data Strategy

• Drive end-to-end delivery of production AI platforms
• Lead solution architecture, orchestrate model pipelines, and design multi-agent workflows
• Create reusable SDKs and frameworks
• Collaborate across product, engineering, security, and governance teams
• Ensure AI systems are scalable, observable, cost-efficient, and compliant
• Define design patterns and optimize operational pipelines
• Enable internal reuse of proven solutions
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production
• Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals

Senior Artificial Intelligence Engineer

• designing, building, and shipping AI‑powered products and platforms
• embedding strong technology risk and control foundations from day one
• hands‑on engineering, integrating, and hardening modern AI stacks
• defining how AI products are built, deployed, and scaled safely across Fidelity

AI Technology Risk Engineer

• Architect internal productivity revolution and analyze workflows.
• Rapidly prototype and refine agentic solutions.
• Help build and deploy production grade AI agents.
• Integrate AI agents with enterprise resources.
• Define and track productivity & ROI.
• Stay at the forefront of AI developments in the media industry.

Artificial Intelligence jobs in New Hampshire

See all jobs on JobTailor