Job Description
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...
Ready to Apply?
Take the next step in your AI career. Submit your application to Sabenza IT & Recruitment today.
Submit Application