AI Engineer (Contract) GautengHybrid ISB1501574

Were seeking a strategic Expert AI Engineer with appropriate academic qualification in Computer Science Engineering or Statistics and proven expertise in agentic system architectures Amazon Bedrock AgentCore and large-scale AI solutions

The ideal candidate has deep hands-on knowledge of training and deploying models using PyTorch and TensorFlow with proven experience designing and building agentic system architectures using frameworks like Amazon Bedrock AgentCore

Demonstrable experience orchestrating multi-step reasoning tool invocation and workflow automation for AI agents plus Docker and Kubernetes for scalable and fault-tolerant ML/GenAI deployments is essential

Strong MLOps mindset with ability to negotiate complex outcomes lead technical strategy for model selection and fine-tuning and operate as an Industry Leader representing best practice is critical

Define and build agentic system architectures leveraging Amazon Bedrock and agent frameworks integrating foundation models into enterprise workflows for complex use cases across GROUP Group

Become the Expert AI Engineer delivering mature professional and safe AI building blocks where your technical vision will enable Expert Chatbots and Expert AI products to automate conversations and support AI experts globally

POSITION: Contract: 01 July 2026 to 31 December 2028

EXPERIENCE: Demonstrated track record of delivering large-scale AI solutions for enterprise customers including end-to-end ownership of architecture and operations

COMMENCEMENT: 01 July 2026

LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office Rotation

TEAM: DevOps - Data Science and Engineering

Qualifications and 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

Essential Skills Requirements

Technical:

• System Architecture Design: Proven experience in designing and building agentic system architectures using frameworks like Amazon Bedrock AgentCore
• Multi-Step Reasoning: Strong expertise in orchestrating multi-step reasoning tool invocation and workflow automation for AI agents
• Model Training and Deployment: Deep hands-on knowledge of training and deploying models using PyTorch and TensorFlow
• Containerization: Skills in Docker and Kubernetes for scalable and fault-tolerant ML/GenAI deployments
• Networking for ML Workloads: Solid understanding of networking principles including VPC design and low-latency communication patterns
• MLOps Practices: Experience with CI/CD for models model versioning and observability in ML systems
• Any additional responsibilities assigned in the Agile Working Model AWM Charter

Agile and DevOps:

• Execution according to the Agile Methodology and attending of all team meetings including Stand-ups Sprint Review Sprint Retrospectives Sprint Planning meetings etc
• Daily use of the Agile Tool Chain as per the updates required by the respective feature team or teams
• JIRA/Confluence

Stakeholder Management:

• Negotiate (discussions and compromise. Issues are short-term operational medium-term tactical or limited strategic nature)
• Provide technical leadership and mentorship to engineers and stakeholders
• Strong interpersonal and communication skills

Soft Skills:

• Self-motivated and keen attention to detail or time management
• Can solve escalated tasks that require a deep understanding of the product or service for which there are no senior level authority to defer the task to
• Can lead team leaders who each have their own team members
• Industry Leader - represents the best practice leader for a product or multiple products in a region or country

Advantageous Skills Requirements

• Cloud Services Experience: Prior experience with Amazon Bedrock and other cloud-managed foundation model services
• Infrastructure as Code: Familiarity with tools like Terraform for reproducible cloud infrastructure
• Serverless Architecture: Knowledge of serverless components (e.g. AWS Lambda) for event-driven workflows
• Data Engineering: Experience in building reliable ETL/data pipelines for model training and feature stores
• Observability Tools: Familiarity with observability stacks like Prometheus and Grafana for monitoring ML services
• Enterprise Compliance: Understanding of compliance considerations in regulated industries (e.g. automotive finance)

Role Requirements

Operations and Support:

• Perform systems-level performance engineering including load testing and capacity planning
• Architect secure low-latency networking for model-to-service communication

Delivery and Configuration:

• 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
• Integrate foundation models into enterprise workflows for complex use cases
• Outcomes are complex and require the integration of several nuanced systems and processes in order to deliver on the required standards
• Create a product or system based on international best practice or guidelines from other companies that have implemented the same or similar solutions

Continuous Improvement:

• Establish MLOps practices including CI/CD pipelines and model versioning
• Improve a product or a system that already exists by making conceptual changes and enhancements
• Can manage the solution for complex problems that may require simple solutions but affect multiple systems

Documentation and Knowledge:

• Provide technical leadership and mentorship to engineers and stakeholders
• Employee may be expected to provide guidance to lower level employees
• Contribute to business case development risk identification and operational documentation

NB: South African citizens or residents are preferred. Applicants with valid work permits will also be considered. By applying you consent to be added to the database and to receive updates until you unsubscribe. If you do not receive a response within 2 weeks please consider your application unsuccessful.

#JobID1574 #AIEngineer #Expert #AmazonBedrock #AgentCore #PyTorch #TensorFlow #MLOps #Kubernetes #Docker

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