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