Job Description
About the Role
Our client is seeking an experienced AI Architect to lead the design, strategy, and implementation of AI-driven capabilities across their operational and customer-facing systems. This role will define how AI is applied across the business, from intelligent automation of support and provisioning workflows to predictive analytics on network and service data.
Key Responsibilities
- Define and maintain the AI strategy and roadmap for the DevOps and systems engineering teams
- Architect AI/ML solutions across integration, monitoring, provisioning, and customer service domains
- Design and oversee the deployment of AI agents, LLM-based assistants, and automated decision-making workflows
- Collaborate with integration engineers and developers to embed AI capabilities into existing platforms (ServiceNow, Django, OSS tools)
- Evaluate and recommend AI frameworks, tools, and platforms suitable for the business
- Establish best practices for prompt engineering, model evaluation, data pipelines, and responsible AI usage
- Lead proof-of-concept initiatives and translate them into production-ready solutions
- Mentor team members on AI-assisted development and workflow orchestration
Requirements
- 7 years of experience in software engineering, data science, or AI/ML engineering
- Strong hands-on experience with Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain, or similar)
- Proven track record of designing and deploying AI solutions in enterprise or operational environments
- Experience with cloud-based AI services (AWS SageMaker, Azure AI, Google Vertex AI, or similar)
- Solid understanding of API-driven architecture and system integration patterns
- Experience with LLMs, RAG architectures, and AI agent orchestration
Qualifications
- Relevant certifications (AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer)
Salary & Benefits
- Salary range to be discussed during the interview process.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About IT / Computing / Software Jobs in Gauteng
In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.
Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.
Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.
The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.
For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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