Lead AI Engineer

abra is seeking a Lead AI Engineer!

We are seeking a Lead AI Engineer to spearhead the design and implementation of large-scale enterprise AI solutions. This is a hybrid-role (50/50 architecture and hands-on development) with a core focus on RAG (Retrieval-Augmented Generation) systems and AI Agents in a hybrid environment (Azure + On-Prem). As a key member of the team, you will drive technological innovation and integrate advanced AI capabilities into the organizational workflow.

Responsibilities

• Advise business units and lead AI use-case discovery and execution.
• Design AI solution architectures based on LLMs, RAG, and AI Agents.
• Perform hands-on end-to-end development of AI services.
• Build RAG pipelines, including ingestion, chunking, embeddings, and retrieval strategies.
• Integrate AI solutions with enterprise systems (SharePoint, APIs, and internal platforms).
• Develop reusable components for the core AI platform.
• Work extensively with Microsoft 365, Graph API, and Teams.
• Implement robust security mechanisms, permissions, and Data Loss Prevention (DLP).
• Mentor teams and establish AI development Best Practices.
  
  

• Strong experience in Python development.
• Proven experience developing RAG systems in production.
• Hands-on experience with LLMs (Azure OpenAI / OpenAI).
• Proven track record in designing complex system architectures.
• Experience in API development.
  
  

• Experience with Azure AI Search and App Services.
• Experience with Semantic Kernel or LangChain.
• Experience with SharePoint / Graph API.
• Familiarity with Hybrid environments (Cloud + On-Prem).
• Experience integrating with ERP systems (e.g., SAP).