1574 AI Engineer (Expert)

Imizizi; Gauteng; On-site; ZAR 600,000 - 800,000; Full time

Job summary

Imizizi is seeking a skilled individual to define and build agentic system architectures leveraging Amazon Bedrock and agent frameworks. The role requires leading the technical strategy for model selection, designing containerized deployment standards using Docker and Kubernetes, and performing performance engineering.

The ideal candidate will have a strong academic background in Computer Science, Engineering, or Statistics and a proven track record in delivering large-scale AI solutions for enterprise customers, providing technical leadership and mentoring to teams.

Qualifications

• Appropriate academic qualification in Computer Science, Engineering, or Statistics.
• Demonstrated track record of delivering large-scale AI solutions for enterprise customers.

Responsibilities

• Define and build agentic system architectures leveraging Amazon Bedrock.
• Lead technical strategy for model selection and fine-tuning.
• 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.
• Establish MLOps practices, including CI/CD pipelines.
• Integrate foundation models into enterprise workflows.
• Provide technical leadership and mentorship.

Education

Computer Science, Engineering, or Statistics

Tools

Docker

Kubernetes

Amazon Bedrock

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.