Job Description
ROLE & RESPONSIBILITIES 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. QUALIFICATIONS/EXPERIENCE Appropriate academic qualification in Computer Science, Engineering, or Statistics. Demonstrated track record of delivering large-scale AI solutions for enterprise customers, including end-to-end ownership of architecture and operations. #J-18808-Ljbffr