AI Solutions Architect

Believe Resourcing; Pretoria; On-site; ZAR 1,059,000 - 1,248,000; Full time

Job summary

A recruitment agency seeks an AI Solutions Architect to design and implement AI-driven solutions in Pretoria, ensuring alignment with business objectives. The role involves collaborating with teams to develop AI strategies and integrating technologies while maintaining scalability, security, and efficiency. A minimum of eight years’ experience in relevant fields is required, along with a degree in IT or similar and solutions architecture certification.

Benefits

Housing contributions

Medical Aid

Pension contributions

Possibility of a 13th cheque

Qualifications

• Minimum of eight years’ relevant work experience.
• Strong expertise in AI/ML frameworks advantageous.
• Understanding of data architecture and microservices advantageous.

Responsibilities

• Design and implement AI-driven architectures.
• Develop AI roadmaps aligned with organisational strategy.
• Assess and recommend AI technologies and tools.

Skills

AI and Machine Learning

Architecture design

Cloud architecture and computing

Code quality management

Cybersecurity architecture for applications

Stakeholder communication

Education

Relevant qualification at NQF Level 7

Solutions Architecture certification

NQF Level 8 qualification advantageous

Tools

TensorFlow

PyTorch

Scikit-learn

Azure

Google Cloud

AWS

Oracle

Javascript

.NET

Python

SQL

Job description

Job Title: AI Solutions Architect
Location: Pretoria
Type: Full-Time | Permanent - 3 YEAR FIXED-TERM CONTRACT

Salary & Benefits: R1 059 105 – R1 247 574 per annum (all-inclusive package). The successful candidate may structure the total package to include a 13th cheque. Housing, Medical Aid, and Pension contributions are included.

About the Role

Our client seeks to appoint an AI Solutions Architect to design and implement AI-driven solutions that align with business objectives. Reporting to the ICT Program Manager, this role will collaborate with cross-functional teams to develop AI strategies, integrate AI technologies into enterprise systems, and ensure scalability, security, and efficiency.

Key Responsibilities

• Design and implement AI-driven architectures.

• Develop AI roadmaps aligned with organisational strategy.

• Assess and recommend AI technologies, tools, and platforms.

• Build and deploy AI/ML models ensuring scalability and performance.

• Integrate AI solutions with new and existing enterprise applications and data pipelines.

• Optimize data processing and model training workflows with data specialists and developers.

• Implement change requests on existing applications.

• Oversee model deployment using cloud services and on-premises environments.

• Ensure adherence to clean code principles and maintainable design patterns.

• Identify and resolve risks and issues.

• Provide technical guidance and mentorship to development and AI teams.

• Collaborate with stakeholders to define AI-driven business use cases.

• Advocate for best practices in AI ethics, security, and compliance.

• Stay updated on emerging AI technologies.

• Conduct feasibility studies on new AI applications and enhancements.

• Drive adoption of responsible and ethical AI practices.

Requirements

• Relevant qualification at NQF Level 7, preferably in IT, Computer Science, Computer Systems, or equivalent.

• Solutions Architecture certification; experience with Scaled Agile Framework, Azure, Google, Oracle, or AWS cloud architecture.

• NQF Level 8 qualification advantageous.

• Minimum of eight years’ relevant work experience.

• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) advantageous.

• Understanding of data architecture, APIs, and microservices advantageous.

• Knowledge of DevOps/MLOps practices for AI model deployment advantageous.

Knowledge, Skills, and Competencies

• AI and Machine Learning

• Architecture design

• Cloud architecture and computing

• Code quality management

• Cybersecurity architecture for applications

• Data management and design

• Database and data warehouse design

• DevOps and CI/CD

• Governance and compliance

• Programming: Javascript, .NET, Python, SQL

• Software Development Lifecycle (SDLC)

• Stakeholder communication

• Technical problem solving

• Tool proficiency

• Business acumen

• Resilience, attention to detail, and sound judgement