Define and build agentic system architectures leveraging Amazon Bedrock and agent frameworks. Lead technical strategy for model selection, fine-tuning, and performance trade-offs. Design and implement containerized deployment standards using Docker and Kubernetes. Architect secure, low-latency networking for model-to-service communication. Perform systems-level performance engineering, including load testing and capacity planning. Establish MLOps practices, including CI/CD pipelines and model versioning. Integrate foundation models into enterprise workflows for complex use cases. Provide technical leadership and mentorship to engineers and stakeholders. Requirements ESSENTIAL SKILLS: System Architecture Design: Proven experience in designing and building agentic system architectures using frameworks like Amazon Bedrock AgentCore. Multi-Step Reasoning: Strong expertise in orchestrating multi-step reasoning, tool invocation, and workflow automation for AI agents. Model Training and Deplo...