Job Description
ROLE & RESPONSIBILITIES:
- Define and build agentic system architectures that leverage Amazon Bedrock AgentCore 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 GenAI Ops practices, including CI/CD pipelines, model versioning, and deployment automation.