This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments, acting as a trusted advisor to customers on adopting GenAI/ML and Agentic technologies. The Senior AI Solution Architect will manage technical relationships, make recommendations on architecture, and influence roadmap enhancements. Responsibilities include building technical relationships, advising on security, cost, performance, and operational efficiency for GenAI/ML and Agentic projects, and acting as the voice of the customer internally. The role involves defining cloud-native GenAI/ML and Agentic architectural patterns, creating and sharing best practices, technical content, and reference architectures, and evangelizing AWS technology for GenAI/ML and Agentic workloads through various channels. Additionally, it requires leading hands-on deep dives and technical workshops, contributing reusable code and assets.
Senior AI Solution Architect for AWS, focusing on guiding customers in adopting GenAI/ML and Agentic technologies. This role involves building technical relationships, recommending architectures for GenAI/ML and Agentic projects, influencing roadmaps, defining cloud-native architectural patterns, and creating technical content. The role requires hands-on experience with AWS AI services, LLM integration, fine-tuning, inference, RAG, evaluation, vector databases, agentic workflows, and MLOps.
