Artificial Intelligence

• Design, build, test, and deploy multi-step AI agents, copilots, and automated workflows that solve defined business problems and improve operational efficiency.
• Work directly with business users to understand workflow needs, prototype solutions quickly, gather feedback, and iterate until solutions are practical and usable.
• Connect AI solutions to internal data, documents, and platforms, including Microsoft 365, SharePoint, databases, APIs, and other approved business systems.
• Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration techniques to create reliable and well-structured AI-enabled workflows.
• Document solution design, build standards, reusable patterns, handoff notes, and support requirements to enable repeatable delivery and long-term maintainability.
• Partner with IT, Data, security, and business stakeholders to transition production-ready solutions into appropriate infrastructure, monitoring, governance, and support models.
• Support internal AI enablement efforts, contribute to reusable solution libraries and standards, participate in AI Leads or cross-functional working groups as needed, and remain current on emerging AI, automation, and productivity tools relevant to Ormat’s business environment.

AI Builder

• Map, analyze, and redesign business processes to identify where emerging technologies, redesigned workflows, AI, or automation can add measurable value.
• Translate operational problems into structured initiative briefs, including problem owner, required data, success measures, and implementation considerations.
• Support innovation sprints and initiatives from framing through facilitation, documentation, follow-through, and outcome tracking.
• Track initiative status, blockers, milestones, and outcomes across the innovation portfolio.
• Support AI adoption activities across business units and sites in coordination with AI Leads, Champions, and other stakeholders.
• Develop and maintain clear internal communications, guidance, and engagement materials that help surface ideas and promote adoption.
• Contribute to strategic and leadership presentations by organizing data, developing narrative structure, and preparing executive-ready materials.
• Coordinate stakeholders across sites, business units, and time zones to support timely progress on innovation and AI initiatives.

Innovation Analyst – Transformation & AI

• 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

• 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

• 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

• 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

• Drive Lean transformation across the full enterprise value stream
• Coordinate and manage AI-enabled continuous improvement initiatives
• Partner with Operations, Finance, HR, Accounting, Procurement, and Technology teams to eliminate waste and accelerate throughput
• Design, facilitate, and execute workshops to identify and prioritize improvement opportunities
• Establish and track KPIs and performance metrics for Lean initiatives
• Serve as the AI Coordinator for the Process Excellence function
• Manage concurrent process improvement and AI-enabled projects
• Build and maintain strong relationships across different departments
• Develop training materials and standard work documentation

Senior Process Excellence Engineer – AI Coordinator

• 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.

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