Seeking a seasoned GenAI and Agentic AI Architect with extensive hands-on experience in AWS AI/ML services, multi-agent systems, LLM orchestration, and cloud-native engineering. This pivotal role involves designing and implementing robust, secure, and production-ready GenAI solutions leveraging AWS AgentCore, AWS Bedrock, AWS Strands SDK, vector databases, and Python-based agentic AI frameworks.

You will be instrumental in establishing reference architectures, developing core solutions, guiding intricate implementations, and promoting the adoption of cutting-edge GenAI and agentic patterns throughout enterprise systems.

Define and architect scalable GenAI and Agentic AI solutions on AWS. Develop and code reference implementations for agentic AI patterns. Lead complex projects involving LLM orchestration and multi-agent systems. Drive the adoption of advanced GenAI capabilities across the organization. Ensure solutions are production-grade, secure, and performant.

Minimum of 15 years of experience in relevant technology domains. Deep expertise in AWS AI/ML services, including AgentCore, Bedrock, and Strands SDK. Proven experience with multi-agent systems, LLM orchestration, and vector databases. Strong proficiency in Python and cloud-native engineering practices. Demonstrated ability to architect and deliver complex, production-ready GenAI solutions.