Utilize your expertise in AI as a Senior GenAI Engineer to architect solutions that transform insurance sales. Focus on building LLM-supporting and scalable AI platforms. This critical role involves designing and implementing advanced GenAI microservices and RAG architectures, requiring at least 6 years of experience in machine learning and NLP. Your hands-on work with LLM applications and close collaboration with cross-functional teams will lead to high-impact AI solutions. Your insights will drive model evaluation and ensure compliance with enterprise standards.

Key Responsibilities
• Lead design of LLM-based solutions targeting RAG and microservices
• Collaborate with teams to ensure robust AI infrastructure and performance




• Develop agentic workflows and prompt engineering strategies
• Evaluate and integrate various LLM models for deployment
• Oversee knowledge base ingestion and update processes

Requirements:
• 6+ years in AI and machine learning
• 2+ years with GenAI and LLM application development
• Proficient in Python and cloud-native solutions, ideally Azure
• Solid understanding of SQL and database management
• Bachelor’s degree in Computer Science, Engineering, or relevant experience Shape the landscape of AI in insurance by creating versatile and effective GenAI solutions.

📌 Senior GenAI Architect for AI Solutions (Toronto)
🏢 Compunnel
📍 Toronto