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. #J-18808-Ljbffr

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