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

• Support the transition from traditional dashboards and reporting toward AI-enabled analytics
• Conduct root-cause analysis, benchmarking, and ad-hoc investigations in support of operations stakeholders
• Load operations data into analytical systems and identify anomalies
• Automate recurring data preparation, reporting, and analysis tasks
• Apply AI systems and tools to deliver insight at scale
• Prepare clear analytical and technical reports for operations stakeholders

AI Analyst

• 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

• 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

• Supports the deployment, orchestration, standardization, and continuous improvement of enterprise Agentic AI workflows and AI-enabled business processes
• Coordinates multi-agent workflows across enterprise systems, business functions, and AI platforms to improve operational efficiency, user experience, and process automation
• Promotes the effective use of repeatable AI processes, orchestration methodologies, governance standards, and enterprise best practices
• Collaborates with business stakeholders, technical teams, and platform teams to identify automation opportunities, improve workflows, and enable scalable AI solutions across the enterprise
• Participates in the evaluation, deployment, and operational support of Agentic AI capabilities, including workflow orchestration, AI task coordination, process monitoring, and AI governance adherence
• Coordinates and supports multi-agent AI workflows across enterprise tasks, systems, and business processes
• Assists in defining and deploying repeatable orchestration standards, methods, and best practices for Agentic AI solutions
• Collaborates with business process owners to identify automation and workflow optimization opportunities
• Supports implementation and configuration of AI-driven workflows using enterprise AI and automation platforms
• Monitors workflow performance, operational metrics, and orchestration effectiveness to identify improvement opportunities
• Participates in evaluating emerging AI orchestration technologies and enterprise automation capabilities
• Assists in documenting workflow logic, orchestration patterns, governance controls, and operational procedures
• Promotes adoption of enterprise AI standards, common processes, and reusable workflow patterns
• Coordinates with technical teams, product managers, and platform teams to support deployment and scaling of Agentic AI capabilities
• Supports integration activities across enterprise systems, knowledge sources, APIs, and workflow platforms
• Participates in operational reviews, lessons learned, and continuous improvement activities related to AI-enabled processes
• Helps establish governance and compliance alignment for AI workflow execution and enterprise usage standards
• Provides education, guidance, and operational support to users adopting AI-enabled workflows and orchestration capabilities

Artificial Intelligence jobs in Oklahoma

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AI Integration Specialist

AI Analyst

VP, Enterprise AI Enablement

Senior Artificial Intelligence Engineer

Mid-Level AI Workflow Orchestration Specialist