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.
Submit your CV to: re•••••••••@••••••.za and Subject line Role title