AI Implementer

What will your job look like:

- Lead the company-wide rollout of development and productivity tools (e.g., AI coding assistants, enterprise copilots, chat and agent platforms): evaluation, deployment, licensing, access provisioning, onboarding and adoption across all departments.

- Design, build and deploy AI agents, assistants and automations for IT and the different business units.

- Develop and maintain MCP server integrations (e.g., Jira, Confluence, SharePoint, Jenkins, Microsoft 365) and onboard new tools to the MCP gateway.

- Extend the corporate chatbot with new self-service automations and knowledge sources.

- Connect AI solutions to enterprise systems (ITSM/Jira, ServiceNow-style workflows, SaaS apps, AD/Entra ID, REST APIs).

- Track and report AI usage, cost and KPIs , such as ticket deflection and automation runs.

- Apply security and governance: authentication (OAuth/tokens), least-privilege access, data protection, and audit/SOX requirements.

- Run enablement work: documentation, user guides, live sessions/workshops, and Tier-3 support for AI tools.

- Evaluate new AI technologies and vendors, and build PoCs.

All you need is:

- 3+ years of hands-on experience in DevOps, automation, systems engineering or software development.

- Strong scripting/programming skills.

- Hands-on experience with LLMs / GenAI : prompt engineering, RAG, agents, function/tool calling.

- Experience with REST APIs, JSON, webhooks and integrating SaaS/enterprise systems.

- Working knowledge of Docker / Kubernetes , CI/CD and Git.

- Strong communication skills; able to work with non-technical stakeholders and explain AI clearly.

- Fluent Hebrew and English.

Nice to have:

- Experience with MCP (Model Context Protocol) servers/clients.

- Familiarity with identity & access (Entra ID/AD, OAuth, SSO) and security best practices.

- Solid troubleshooting skills in Linux and Windows environments.

- Experience with AI platforms such as Amazon Quick / Bedrock, Azure OpenAI, Copilot Studio, Open WebUI, or LangChain/LangGraph.

- Background in IT operations / ITSM (Jira Service Management).

- Experience with Azure (Key Vault, App Services) or AWS.

- Experience with cost monitoring/observability for AI workloads.

- Experience running technical training or workshops.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!