Artificial Intelligence

• Implements and coordinates a knowledge management system that increases knowledge sharing, protection, collaboration, and retrieval across the organization.
• Develops and maintains the technical documentation, training material, and knowledge articles that ground automated and conversational AI responses and support agents and operators.
• Establishes and maintains content governance frameworks, including ownership models, review cycles, taxonomy, and metadata standards that support knowledge organization and discoverability.
• Develops AI-ready content standards and authoring practices that improve knowledge usability, reusability, and retrieval across digital platforms.
• Defines and evolves the enterprise knowledge strategy and governance model to support operational excellence, digital adoption, workforce transformation, and AI enablement.
• Partners with business and technology leaders to align knowledge management practices with enterprise AI priorities and future innovation initiatives.
• Curates and governs the content base that grounds automated and conversational AI responses, ensuring accuracy, currency, and consistency.
• Collects and analyzes metrics on knowledge access, usage, and sharing, and recommends and implements improvements.
• Delivers training and information sessions on knowledge management to new and current employees.
• Publishes articles or whitepapers on knowledge management best practices and promotes initiatives that increase knowledge sharing and access.

Knowledge Management and AI Enablement Specialist

• 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

• Define and drive the strategic direction and operational execution of Artificial Intelligence capabilities
• Own the development, communication, and execution of the enGen AI roadmap
• Drive AI adoption and programs within enGen and across the enterprise
• Commercialize enGen's AI capabilities to identify and seed new revenue streams
• Create and nurture strong partnerships across the enterprise and within enGen
• Deliver flexible, high-quality AI solutions and operational frameworks adhering to privacy policies

VP AI Strategy – Enablement

• 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

• Own client relationships independently, serving as a trusted advisor to C-suite executives on AI strategy, governance, and implementation.
• Represent EisnerAmper on AI Advisory in executive rooms, confidently navigating conversations that span AI risk and policy through capability building and adoption.
• Build and maintain relationships with boards, executive teams, and key stakeholders across client organizations.
• Drive revenue growth through new client acquisition and expansion of existing relationships.
• Identify opportunities within EisnerAmper's existing client base and collaborate with partners across service lines to deliver AI Advisory services.
• Develop proposals, lead pitch presentations, and close engagements independently.
• Lead complex AI advisory engagements spanning governance frameworks, strategy development, implementation planning, and organizational change.
• Ensure successful delivery outcomes, managing scope, timelines, and client expectations.
• Collaborate with internal teams and external resources to assemble the right expertise for each engagement.
• Contribute to the strategic direction of the AI Advisory practice, including service development, market positioning, and thought leadership.

AI Advisory Director

• Act as the go-to AI resource for your assigned team by meeting with stakeholders, understanding their workflows and pain points, and identifying where AI can provide practical value
• Triage incoming AI requests and determine the right path forward, whether that’s building a quick solution yourself, guiding someone to do it, or escalating to the broader AI or platform team
• Design and build low-code AI solutions such as prompts, workflows, agents, and rapid prototypes, then test, iterate, and refine them based on real user feedback
• Lead working sessions and provide hands-on coaching to help teams adopt AI tools, improve how they work, and build their own solutions with confidence
• Analyze AI usage and adoption trends to identify where teams are getting stuck and proactively deliver targeted support and enablement
• Contribute to firm-wide AI initiatives by collaborating with other AI Coaches, supporting internal programs and content, and helping execute trainings, events, and workshops
• Continuously stay current on emerging AI tools and capabilities while expanding your own skill set and sharing best practices across the firm

AI Coach – AI Enablement, Adoption

• 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

• Own delivery of large and/or complex ML, DL, and Generative AI systems
• Design, implement, and evaluate AI systems for production
• Apply prescriptive analytics techniques to business problems
• Lead development and testing of ML algorithms
• Stay updated with advancements in AI/ML methods
• Benchmark against existing ML methods
• Develop prototypes and proof-of-concept implementations
• Lead consultation sessions with business partners
• Drive continuous improvement through novel techniques
• Identify actionable insights and communicate results

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