BI and AI Solution Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
BI and AI Solution Engineer (AI): Architecting an AI-driven data ecosystem and implementing GenAI solutions to optimize organizational efficiency with an accent on autonomous data strategies and semantic layers. Focus on orchestrating AI-powered agents and translating complex business requirements into LLM-powered workflows.
Location: Tel-Aviv, IL
Company
is an AI work platform that enables ambitious teams to bring people, workflows, and AI agents together on one flexible platform.
What you will do
- Lead the transition to autonomous data strategies by owning the organization's single source of truth.
- Implement cutting-edge GenAI solutions and tools to improve team efficiency and user self-service.
- Orchestrate a fleet of AI-powered agents to transform the BI division into a proactive service center.
- Establish a governed semantic layer to centralize business logic and ensure consistency across all platforms.
- Partner with stakeholders to translate complex business requirements into LLM-powered workflows.
- Develop structured evaluation plans to test workflows against accuracy, reliability, and compliance standards.
Requirements
- 6+ years of experience as a BI Developer or Data Engineer focusing on DWH design and dimensional modeling.
- Hands-on experience implementing AI or automation within BI and analytics processes.
- Mastery of SQL and deep experience with Snowflake, Airflow, and dbt.
- Experience using AI-native development environments such as Claude or Cursor.
- Deep understanding of Semantic Layers for business logic centralization.
- Strong passion for LLMs and a desire to build category-defining AI-driven products.
Nice to have
- Proficiency in Python for data manipulation, API integration, and AI automation.
- Experience with RAG, LangChain, LlamaIndex, or Vector DBs.
- Experience deploying AI/Data products in high-scale production environments with CI/CD.
- Practical implementation of RLS, RBAC, and OAuth within AI-to-Data layers.
- Ability to build pipelines for unstructured data such as PDFs, Slack, and CRM notes.
Culture & Benefits
- Ownership-driven culture based on transparency and customer obsession.
- Opportunity to work on a multi-product AI suite reaching hundreds of thousands of customers worldwide.
- Competitive salary, bonus potential, and equity eligibility.
- Professional growth via a dedicated L&D team, AI workshops, bootcamps, and internal hackathons.
- Collaborative global culture with workplace teams across multiple international hubs.
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