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 scalable GenAI solutions on AWS. You will leverage tools like AWS AgentCore, AWS Bedrock, and the AWS Strands SDK, alongside vector databases and Python-based agentic AI frameworks.

Your expertise will be crucial in establishing reference architectures, developing code, guiding intricate implementations, and championing advanced GenAI and agentic patterns throughout the enterprise. This is an opportunity to shape the future of AI-driven solutions within a leading organization.

Architect and deliver production-grade GenAI solutions using AWS AgentCore, AWS Bedrock, and AWS Strands SDK. Develop and implement multi-agent systems and LLM orchestration patterns. Define and document reference architectures for scalable and secure GenAI applications. Lead complex implementations, ensuring successful integration of agentic AI solutions. Drive the adoption of advanced GenAI patterns across enterprise systems. Utilize vector databases and Python for building sophisticated agentic AI functionalities.

Requires 15+ years of progressive experience in AI/ML architecture and cloud-native development. Deep, hands-on expertise in AWS AI/ML services is mandatory. Proven experience with multi-agent systems, LLM orchestration, and vector databases. Proficiency in Python and building agentic AI solutions. Demonstrated ability to architect and deliver scalable, secure, and production-grade cloud solutions. Excellent problem-solving skills and the ability to lead complex technical initiatives.