AI Automation Engineer for a Global Company 5316

2 days ago

Center District, Israel INGIMA Full time ₪60,000 - ₪120,000 per year

We're looking for a
hands-on, creative, and process-driven AI Automation Engineer
to join our
AI Center of Excellence
.((We are not looking for automation professionals coming from traditional automation development backgrounds.))

In this role, you'll design, build, and deploy
intelligent agents
that automate complex business processes using
no-code and low-code tools
such as
n8n
and
Copilot Studio
.

You'll collaborate closely with business and technical teams to translate real-world challenges into scalable, AI-powered automations that accelerate our company's digital transformation.

Key Responsibilities

  • Analyze business processes to identify opportunities for automation using intelligent AI agents.
  • Design, build, and optimize agent-based workflows with
    n8n
    ,
    Copilot Studio
    , and similar platforms.
  • Apply
    prompt engineering
    techniques to improve interactions between users, agents, and LLMs — crafting, testing, and refining prompts for precision and contextual understanding.
  • Define architectures, integrations, and logic flows for
    multi-agent systems
    .
  • Collaborate with stakeholders to translate business needs into structured agent requirements and workflows.
  • Contribute to the AI CoE's best practices, governance standards, and reusable frameworks for prompt and workflow design.
  • Monitor and continuously enhance agent performance and user experience using data-driven insights.

Requirements

  • 3+ years of experience in a technical or analytical role (e.g., system analyst, process engineer, or product specialist). Exprience from traditional automation development backgrounds - is not what we are looking for)
  • Hands-on experience with
    no-code / low-code platforms
    (e.g.,
    n8n
    ,
    Power Automate
    ,
    Copilot Studio
    ,
    Zapier
    ,
    Make
    ).
  • Strong understanding of
    business processes
    ,
    system architecture
    , and
    data flows
    .
  • Familiarity with
    AI technologies
    ,
    prompt engineering
    , and
    LLM-based
    solutions.
  • A process-oriented mindset with strong attention to usability, scalability, and business value.

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