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)
🏢 Compunnel
📍 Toronto