Overview
Al Data Engineer Jobs in Gauteng, South Africa at Indsafri
Title: Al Data Engineer
Company: Indsafri
Location: Gauteng, South Africa
We are seeking an AI Engineer to design, build, and deploy scalable AI-driven solutions leveraging Microsoft Copilot Studio and Azure AI services. The successful candidate will be responsible for developing intelligent automation solutions, AI agents, and enterprise-grade generative AI applications that improve operational efficiency and enable business innovation. This role requires expertise in AI engineering, enterprise data integration, agent-based architectures, and responsible AI practices.
Key Responsibilities
Solution Design & Development
- Design and implement AI-powered agents and copilots using Microsoft Copilot Studio.
- Develop advanced AI solutions and orchestration workflows using Azure AI Foundry.
- Build hybrid AI architectures that combine conversational interfaces with backend AI intelligence.
- Develop multi-step reasoning workflows and agent orchestration solutions for complex business scenarios.
Data Integration & AI Enablement
- Integrate AI solutions with enterprise systems through APIs, connectors, and microservices.
- Connect AI applications to data platforms such as SQL databases, data lakes, and graph databases.
- Develop and optimize Retrieval-Augmented Generation pipelines for enterprise knowledge management use cases.
AI Agent Development & Deployment
- Develop, test, and deploy scalable AI agents across multiple business functions.
- Enable multi-channel deployment through platforms such as Microsoft Teams and the Power Platform ecosystem.
- Conduct thorough testing, validation, and performance optimization prior to production releases.
Governance & Best Practices
- Implement security best practices including RBAC, managed identities, and Azure Key Vault.
- Ensure compliance with data governance, security, and responsible AI standards.
- Participate in design reviews and code reviews to maintain quality and consistency.
- Promote adoption of engineering standards and reusable solution patterns.
Performance Monitoring & Optimization
- Optimize AI model usage, response quality, and operational costs.
- Implement logging, monitoring, tracing, and observability frameworks.
- Troubleshoot and resolve issues across AI platforms and integrations.
Knowledge Sharing & Mentoring
- Mentor team members and support knowledge transfer initiatives.
- Contribute to capability development and AI best practices.
- Create reusable frameworks, templates, and implementation playbooks.
Required Experience
- 1 to 3 years of hands-on experience with Microsoft Copilot Studio.
- 1 to 3 years of experience with Azure AI Foundry and related AI technologies.
- Proven experience building, deploying, and maintaining AI/ML or Generative AI solutions.
- Experience with conversational AI, intelligent agents, or agent-based architectures.
Technical Skills
Programming
- Python (preferred).
- API development and integration.
AI & Machine Learning
- Prompt engineering.
- Retrieval-Augmented Generation .
- Model evaluation, tuning, and optimization.
- Large Language Models and Generative AI solutions.
Cloud & Data Technologies
- Microsoft Azure ecosystem.
- SQL databases.
- Data lakes and enterprise data platforms.
- API and data integration technologies.
Development Tools
- GitHub.
- CI/CD pipelines.
- DevOps practices.
- Agile / SAFe methodologies.
Key Competencies
- Strong analytical and problem-solving skills.
- Ability to design scalable, production-ready AI solutions.
- Excellent communication and stakeholder engagement skills.
- Strong focus on governance, quality, and compliance.
- Continuous learning mindset and passion for emerging AI technologies.
Qualifications
- Bachelor’s Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- Relevant Microsoft Azure and AI certifications will be advantageous.
- Experience with enterprise AI implementations is preferred.