About the position
AI Solutions Architect
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 position will collaborate with cross-functional teams to develop AI strategies, integrating AI technologies into enterprise systems, and ensuring scalability, security, and efficiency.
Minimum Qualifications
- An appropriate, recognised qualification at NOF Level 7, with preference for a qualification in Information Technology, Computer Science, Computer Systems or equivalent.
- Solutions Architecture certification, Scaled Agile Framework, Azure, Google, Oracle, or AWS cloud architecture certification.
- A relevant NOF level 8 qualification will be an advantage.
Minimum Experience
- Eight years’ relevant work experience.
- Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) will be an
- Understanding data architecture, APIs, and microservices will be an advantage.
- Knowledge of DevOps/MLOps practices for AI model deployment will be an advantage.
Knowledge, skills and competencies
- AI and Machine Learning.
- Architecture Design.
- Cloud architecture.
- Cloud Computing.
- Code Ouality Management.
- Cybersecurity architecture for applications.
- Data Management and Design.
- Database and data warehouse design.
- DevOps and CI/CD.
- Governance and compliance.
- JavaScript programing.
- Net programing.
- Programming and Scripting.
- Python programing.
- Software Development Lifecycle (SDLC).
- SOL scripting.
- Stakeholder communication.
- Technical problem solving.
- Tool proficiency.
- Business acumen.
- Resilience, attention to detail and sound judgement.
Summary of duties
- Design and Implement AI driven Architectures.
- Develop AI Road maps 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, existing enterprise applications and data pipelines.
- Work with data specialists and developers to optimize data processing and model training workflows.
- Implement change requests on existing applications.
- Oversee model deployment using cloud services and on-premises environments.
- Adhere to clean code principles and maintainable design patterns.
- Resolve identified risks and issues.
- Work closely with software engineers, data stewards and Business Analysts.
- Provide technical guidance and mentorship to the development 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 the adoption of responsible and ethical AI practices.
Desired Skills:
