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 e...