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.
• Implement observability, logging, monitor...