P
AI Engineer, Automation and Enterprise Platforms
לא צויןלא צויןAI Engineering
Develop and deploy AI solutions and automations for organizational users, operate enterprise AI platforms, integrate business and production systems, and track initiative outcomes.
תחומי אחריות
- Identify opportunities with production-floor and business-unit users; rapidly build internal applications and tools from prototype through production.
- Deliver assigned initiatives in line with the annual AI work plan, from scoping through handoff, including estimates, status updates, and blocker reporting.
- Define success metrics, build tracking dashboards, collect data, and report results against targets.
- Operate enterprise AI platforms, managing users, permissions, SSO, usage, costs, user support, and incidents.
- Set up, maintain, and monitor MCP servers, connectors, plugins, and API integrations with SAP and production systems.
- Design and develop automations for recurring manual processes using Power Automate, scripts, and SAP or Excel data.
- Develop and maintain internal LLM-based tools, including spreadsheet analysis, dashboards, training platforms, and departmental assistants; provide technical documentation.
- Help evaluate, deploy, and operate self-hosted open models alongside cloud models, including performance testing, infrastructure, and monitoring.
- Adapt and deploy AI-based development tools in a secure enterprise environment, including proxy and security-control configuration.
- Apply organizational AI-use policies and information-classification rules to tools and integrations.
- Train employees and managers on AI tools and support departmental champions.
דרישות
- Hands-on experience operating enterprise AI platforms, including user access, permissions, SSO, usage monitoring, and cost tracking.
- Practical knowledge of MCP servers, connectors, plugins, and model-provider APIs.
- Experience developing and deploying LLM-based tools using structured outputs, prompt engineering, RAG, or agents.
- Ability to build applications and tools using JavaScript or Python.
- Experience developing automations and API integrations and processing data from enterprise systems.
- Familiarity with SAP.
- Knowledge of Docker, Linux, Windows Server (IIS), NGINX, PostgreSQL, Cloudflare, or GitHub Actions.
- Experience training employees and managers on AI tools and creating training materials.
- Experience measuring technology initiative results, building tracking dashboards, and reporting against targets.
- Understanding of information security and data governance for sensitive information.
- Ability to translate business needs into technical solutions and work directly with departmental users.
- High proficiency in Hebrew and English.