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Lead AI Engineer
·Israel
Not specifiedFull-timeBackend DevelopmentClimate Data and AnalyticsIT System Data ServicesData Infrastructure and Analytics
Lead the design, development, and delivery of enterprise-scale AI solutions, including LLM-powered applications, RAG solutions, and AI Agents. Manage a team of AI engineers and drive AI roadmaps in a hybrid Azure and on-premises environment.
Responsibilities
- Lead and mentor a team of AI Engineers, providing technical guidance, code reviews, and professional development.
- Define and execute AI roadmaps, delivery plans, milestones, and project timelines.
- Design enterprise AI architectures based on LLMs, Retrieval-Augmented Generation (RAG), and AI Agents.
- Develop production-grade AI services and applications using Python.
- Build and optimize enterprise RAG pipelines, including ingestion, chunking, embeddings, vector search, and retrieval.
- Design reusable AI platform components and best practices for scalable AI development.
- Integrate AI solutions with enterprise systems, including SharePoint, Microsoft 365, Microsoft Graph API, Teams, and REST APIs.
- Implement security, authorization, and data governance mechanisms to ensure secure AI adoption.
- Partner with business stakeholders to lead AI initiatives from ideation and Proof of Concept (POC) through enterprise production deployment.
- Drive innovation and promote AI best practices across the organization.
Requirements
- 2+ years of leadership experience as a Tech Lead, Team Lead, or AI Development Lead managing AI, Data Science, or Software Engineering teams.
- Experience working in large enterprise environments, collaborating across multiple business and technology stakeholders.
- Strong hands-on experience developing production applications using Python.
- Proven experience designing and implementing RAG (Retrieval-Augmented Generation) solutions in production.
- Experience with Azure OpenAI Service or OpenAI APIs.
- Strong background in software architecture, enterprise application design, and API development.
- Experience building scalable AI services and deploying enterprise AI solutions.
Nice to have
- Familiarity with Microsoft Azure services.
- Experience with data governance and security in AI.
- Knowledge of best practices in AI development.