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
Robust 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. #J-18808-Ljbffr

📌 Senior Genai Architect For Ai Solutions Toronto (Canada)
🏢 Compunnel
📍 Canada