About The Position

The AI Solutions & Adoption Specialist is a business-oriented, customer-facing role focused on helping organizations understand, adopt, and implement AI. The role combines customer consulting, AI adoption, business process analysis, workshops, enablement, and organizational change management. The specialist works with customers to understand their business challenges and workflows, identify opportunities for AI and automation, and turn those opportunities into practical use cases and adoption plans. They collaborate with AI engineers to design and validate solutions, including proofs of concept, demos, AI Agents, and automations, and support customers from discovery and solution definition through implementation, rollout, and adoption. The role also involves explaining AI capabilities to non-technical audiences and keeping up with emerging AI tools and technologies.

Requirements

  • Approximately 1–4 years of experience in a customer-facing technology or business role, such as Solutions Consulting, Implementation, Business Analysis, Information Systems, Technical Consulting, Product, or Automation.
  • Experience working directly with customers, business stakeholders, or end users.
  • Strong ability to understand and map business processes and translate them into practical solutions.
  • Practical experience and strong familiarity with Generative AI tools such as ChatGPT, Claude, Gemini, or Microsoft Copilot.
  • Strong technical orientation and ability to understand systems, integrations, APIs, and automations.
  • Ability to communicate comfortably with both business and technical stakeholders.
  • Excellent communication, presentation, and interpersonal skills.
  • Curiosity, creativity, ownership, and ability to learn independently.
  • High level of Hebrew and English.

Nice To Haves

  • Hands-on experience building AI Agents, AI Assistants, or agentic workflows.
  • Experience with n8n, Make, Power Automate, Copilot Studio, Zapier, or similar automation platforms.
  • Experience with APIs, REST, JSON, Webhooks, MCP, and system integrations.
  • Experience with Claude API, OpenAI API, Gemini API, or other LLM APIs.
  • Experience with Prompt Engineering, RAG, LLM-based applications, or AI orchestration.
  • Basic development or scripting experience in Python, JavaScript, TypeScript, or SQL.
  • Experience using Claude Code, Cursor, GitHub Copilot, or similar AI-assisted development tools.
  • Experience building proofs of concept or taking solutions from business need through implementation.
  • Previous experience in implementation, consulting, customer success, or working closely with development and engineering teams.

Responsibilities

  • Work directly with customers to understand their businesses, processes, workflows, and operational challenges.
  • Lead discovery sessions with business stakeholders and end users.
  • Map existing business processes and identify opportunities for AI, automation, and AI Agents.
  • Translate business needs into clear AI use cases, solution requirements, and workflows.
  • Design practical AI solutions with customers and the AI engineering team.
  • Build and validate proofs of concept, demos, AI Agents, and automations where relevant.
  • Bridge communication between customers and the AI engineers building the underlying solutions.
  • Support customers from initial discovery and solution definition through implementation, rollout, and adoption.
  • Present solutions, demonstrate capabilities, and explain complex AI concepts to non-technical audiences.
  • Identify additional AI opportunities as customer needs and technologies evolve.
  • Explore new AI tools, models, agents, and automation capabilities and evaluate how they can solve customer problems.
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