1926 ai engineer (expert)

Responsibilities Define and build agentic system architectures that leverage Amazon Bedrock Agent Core and agent frameworks to enable multi-step reasoning and automated workflows. Lead technical strategy for model selection, fine-tuning, and inference, advising on cost vs. performance tradeoffs. Design and implement containerized deployment standards using Docker and Kubernetes to ensure consistent, scalable, and fault-tolerant ML operations. Architect secure, low-latency networking for model-to-service and service-to-service communication across private and public networks. Perform systems-level performance engineering: select appropriate compute accelerators, run load and stress tests, and conduct capacity planning for production readiness. Establish and operate MLOps and Gen AI Ops practices, including CI/CD pipelines, model versioning, and deployment automation. Implement observability, logging, monitoring, and incident response for production AI systems to ensure perational excell...