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AI Solutions & Adoption Specialist

abra_rnd/15.00799 open roles

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. abra_rnd/15.007 postings stay open a median of 10 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: first seen 5 hours ago

abra_rnd/15.007 median: 10 days open

The posting

We're looking for a business-oriented AI professional who enjoys working directly with customers, understanding business processes, and helping organizations successfully adopt AI.

This role combines customer consulting, AI adoption, business process analysis, workshops, enablement, and organizational change management.

The ideal candidate enjoys meeting customers, discovering business challenges, identifying AI opportunities, designing practical AI adoption plans, and helping organizations successfully implement and embrace AI technologies.

If you're passionate about AI, enjoy working with people, and love helping organizations transform the way they work- we'd love to meet you.



Key Responsibilities

  • Work directly with customers to understand their business, 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 together with customers and our AI engineering team.
  • Build and validate POCs, demos, AI Agents, and automations where relevant.
  • Act as the bridge between the customer and the AI engineers building the underlying solutions.
  • Support customers throughout the process, 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.
  • Continuously explore new AI tools, models, agents, and automation capabilities and evaluate how they can solve real customer problems.

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, Automation, or a similar field.
  • 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, Microsoft Copilot, or similar technologies.
  • Strong technical orientation and the ability to understand how systems, integrations, APIs, and automations work.
  • Ability to communicate comfortably with both business and technical stakeholders.
  • Excellent communication, presentation, and interpersonal skills.
  • Curiosity, creativity, ownership, and a strong ability to learn independently.
  • High level of Hebrew and English.

Advantage

  • 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 POCs or taking solutions from business need through implementation.
  • Previous experience in implementation, consulting, customer success, or working closely with development and engineering teams.
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