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

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Lead and manage AI product systems and documentation
• Collaborate with cross-functional teams to enhance product workflows
• Implement AI-driven processes for efficiency and improvement
• Oversee release communications and technical writing functions

AI Product Systems Director

• 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

• Build AI‑powered automations for core People workflows (recruiting, onboarding, offboarding, employee lifecycle, compliance)
• Translate defined workflow specs or process maps into built, tested, and deployed automations
• Build and deploy skills or agentic workflows in partnership with the AI COE, including work tied to PROG’s active PIPER+ program
• Use AI tools (Claude, Microsoft Copilot, GitHub Copilot, or similar) as core building tools — for workflow logic, automation, and agent design
• Integrate automations with Workday, Jira, Microsoft 365, and other tools in the PROG stack (API and MCP support provided)
• Ship quickly and iterate: deliver functional MVPs, gather feedback, and improve over time
• Maintain and enhance automations as People needs evolve
• Document what you build so others can understand, maintain, and extend it
• Partner closely with TA, People Ops, Total Rewards, and HR Technology leaders

AI & Automation Builder

• Improve SE productivity, readiness, and technical-win effectiveness through AI.
• Identifying high-impact use-cases AI solutions to improve productivity, consistency, and scale of the pre-sales organization and build a portfolio of these offerings.
• Build and deploy POCs independently to demonstrate ROI before scaling internal AI solutions.
• Independently design, develop or build complete internal AI solutions such as agents, multi-step workflow or integrations, making informed decisions about agent architecture, context design, retrieval strategies tailored to help pre-sales advance opportunities along the sales process.
• Project manage the rollout of AI solutions focused on pre-sales enablement.
• Partner cross-functionally with internal stakeholders to translate the larger AI strategy into actionable pre-sales enablement plans, tools, workflows and adoption programs.
• Track and report adoption, efficiency, productivity, and ROI metrics for SETI initiatives.
• Build consistent AI processes that enable the business to meet objectives.
• Communicate progress, risks, adoption insights, and business impact to senior stakeholders and executive audiences.

AI Operations & Enablement Specialist

• Evaluate AI-assisted service experiences to identify recurring performance issues and customer friction points.
• Investigate issues such as misrouting, incorrect escalations, weak retrieval, poor grounding, low-confidence responses, and hallucination risks.
• Perform root cause analysis and translate findings into actionable recommendations.
• Partner with technical and business stakeholders to improve AI behavior and customer outcomes.
• Develop and execute test plans for prompt changes, routing updates, retrieval improvements, and new AI capabilities.
• Validate expected versus actual behavior before production releases.
• Identify risks, document findings, and recommend improvements.
• Support release readiness efforts and help reduce avoidable regressions.
• Support pilots, A/B tests, and iterative rollouts of AI capabilities.
• Define hypotheses, success criteria, and measurement approaches.
• Analyze results and provide recommendations for scaling, adjusting, or retiring solutions.
• Ensure decisions are informed by both customer outcomes and business impact.
• Communicate AI performance issues in ways that resonate with technical and non-technical audiences.
• Create structured recommendations, issue summaries, and performance narratives.
• Help stakeholders understand tradeoffs, risks, and opportunities.
• Influence prioritization decisions through evidence-based recommendations.
• Partner with service design, journey management, and knowledge teams to ensure AI experiences align with customer needs and intended service outcomes.
• Help optimize escalation paths and self-service strategies.
• Identify opportunities to reduce customer effort while improving resolution quality.
• Track key performance indicators such as containment, digital resolution, customer sentiment, escalation trends, and AI accuracy signals.
• Identify emerging issues early and recommend mitigation strategies.
• Provide clear context around what changed, why it matters, and what should happen next.
• Actively leverage AI tools to improve workflows, analysis, and decision-making.
• Stay informed on evolving AI technologies, trends, and best practices.
• Help BambooHR continuously improve how AI is used to support customers and employees.

CX AI Optimization Partner

• Serve as a main technical voice for your account team
• Build deep, trusted relationships with C-suite and technical stakeholders
• Demonstrate how Salesforce's capabilities complement OpenAI's models
• Take ambiguous business problems and apply AI-first mindset
• Guide customers through solution evaluation and analysis
• Conduct deep-dive discovery with engineering, IT, and business teams
• Design and deliver compelling product demonstrations
• Orchestrate cross-functional solution teams
• Maintain understanding of the current AI competitive landscape
• Act as a feedback loop between OpenAI and Salesforce’s Product organization

Lead Account SE, Strategic AI

• 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

• Lead a team of product owners and product managers focused on complex end-user experiences and emerging digital commerce capabilities.
• Help lead the development of new digital commerce capabilities from concept through pilot and scale, enabling AI-driven experiences that connect consumers, brands, and financing solutions within emerging commerce platforms.
• Maintain clarity for the team to ensure successful delivery of new and existing digital capabilities and collaborate with stakeholders across technology, platform, and business teams to align product goals.
• Manage the product lifecycle from ideation to launch, helping shape the company's strategy for AI-enabled commerce experiences.

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