AI Data Engineer

Indsafri; Sandton; Hybrid; ZAR 700,000 - 1,100,000; Part time

Job summary

Indsafri is seeking a Data Engineer AI to design, build and deploy scalable AI-driven solutions using Microsoft Copilot Studio and Azure AI Foundry in a hybrid Sandton setup. You will create AI-powered agents, implement multi-step reasoning, and ensure governance, security, and production readiness while integrating with enterprise systems.

The role demands 1–3 years in AI/Data Engineering and a proactive, collaborative mindset.

Qualifications

• 1–3 years of relevant work experience in AI/Data Engineering roles.
• Experience with Copilot Studio and Azure AI Foundry.
• Experience in building AI/ML or generative AI solutions.
• Knowledge of agent-based architectures or conversational AI.
• Strong Python programming and API integration.
• Prompt engineering, RAG pipelines, model evaluation and tuning.
• Commitment to quality, governance and standards.
• Excellent communication and stakeholder engagement.
• 6 months renewable contract and immediate notice period.

Responsibilities

• Design and implement AI-powered agents and copilots using Copilot Studio.
• Develop advanced AI solutions and orchestration pipelines using Azure AI Foundry.
• Build hybrid architectures combining Copilot Studio and Foundry.
• Implement multi-step reasoning workflows and agent orchestration for complex use cases.
• Data Integration & AI Enablement: integrate AI solutions with enterprise systems using APIs, connectors, and microservices; develop RAG pipelines for knowledge use cases.
• Agent Development & Deployment: build and deploy scalable AI agents across business domains; ensure testing and performance optimization.
• Governance, Quality & Standards: apply RBAC, Key Vault, data governance, responsible AI, and risk mitigation; conduct peer reviews.
• Performance Optimisation & Monitoring: optimize model usage, cost, and accuracy; implement observability; diagnose issues.

Skills

Data Engineer

AI Engineer

Microsoft Copilot Studio

Azure AI Foundry

Python

API integration

Agent-based architectures

RAG pipelines

Generative AI

Tools

Microsoft Copilot Studio

Azure AI Foundry

APIs & Connectors

Job description

Job Role: Data Engineer AI (Artificial Intellignece Data Engineer)

Exp Required: Atleast 1 to 3 Years of relevant work experience in deploying AI/ML or generative AI solutions with Microsoft Copilot Studio, Microsoft Azure AI Foundry, Other AI Tools / Platforms

Job Location: Hybrid - Sandton, South Africa

Company Name: Indsafri

Notice Period: Immediate to 30 days

NOTE

***********************KINDLY DO NOT APPLY IF YOU HAVE LESS THAN 1 to 3 YEARS OF RELEVANT WORK EXP AS DATA ENGINEER WITH ARTIFICIAL INTELLIGENCE. FRESHERS OR LESS THAN 1 YEARS OF EXP IN DATA ENGINEERING WITH AI PLEASE DO NOT APPLY ***************

*****************KINDLY DO NOT APPLY IF YOU ARE NON SOUTH AFRICAN CITIZEN. ONLY SOUTH AFRICA CITIZENS WILL BE CONSIDRED TO HIRE*************

Job Purpose:

The AI Engineer will design, build, and deploy scalable AI-driven solutions using Microsoft Copilot Studio and Azure AI Foundry, with the objective of automating business processes, accelerating delivery of AI use cases, and improving operational efficiency across the business.

The role requires strong engineering capability across agent-based architectures, generative AI, and enterprise data integration, while ensuring adherence to established standards, governance, and best practices.

Roles and Responsibilities:

• Design and implement AI-powered agents and copilots using Copilot Studio.
• Develop advanced AI solutions and orchestration pipelines using Azure AI Foundry.
• Build hybrid architectures combining Copilot Studio (front-end interaction) and Foundry.
• Implement multi-step reasoning workflows and agent orchestration for complex use cases.
• Data Integration & AI Enablement
  • Integrate AI solutions with enterprise systems using:
    • APIs, connectors, and microservices
  • Develop and optimise Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge use cases.
• Agent Development & Deployment
  • Build and deploy scalable AI agents across business domains.
  • Ensure robust testing, validation, and performance optimisation prior to production release.
• Governance, Quality & Standards
  • Apply best practices across:
    • Security (RBAC, managed identities, Key Vault)
    • Data governance and compliance
    • Responsible AI and risk mitigation
  • Conduct peer reviews on solution design and code and guide team adoption of standards.
• Performance Optimisation & Monitoring
  • Optimise model usage, cost, and response accuracy.
  • Implement observability (logging, monitoring, tracing).
  • Diagnose and resolve issues across Copilot–Foundry integrations.
• Coaching & Enablement
  • Mentor squad members and facilitate knowledge transfer.
  • Support capability uplift across the AI squad and broader CIB community.
  • Contribute to reusable patterns, frameworks, and playbooks.

Qualifications:

• Atleast 1 to 3 years of relevant work experience as Data Engineer in AI or AI Engineer or in a similar role
• Atleast 1 to 3 years of relevant work experience in Data Engineering with AI (Artificial intellignece)
• Atleast 1 to 3 years of relevant work experience in Microsoft Copilot Studio, Microsoft Azure AI Foundry, Other AI Tools / Platforms
• Atleast 1 to 3 years of relevant work experience in building and deploying AI/ML or generative AI solutions
• Experience in agent-based architectures or conversational AI
• Python programming (preferred), API integration
• AI/LLM capabilities:Prompt engineering, RAG pipelines,Model evaluation and tuning
• Strong problem-solving and analytical thinking
• Ability to design scalable, production-grade AI solutions
• Excellent communication and stakeholder engagement
• Commitment to quality, governance, and standards
• Continuous learning mindset in emerging AI technologies

Technical Skills Required (Mandatory):

• Atleast 1 to 3 years of relevant work experience in Data Engineering with AI (Artificial intelligence)
• Atleast 1 to 3 years of relevant work experience in Microsoft Copilot Studio, Microsoft Azure AI Foundry, Other AI Tools / Platforms
• Atleast 1 to 3 years of relevant work experience in building and deploying AI/ML or generative AI solutions
• Experience in agent-based architectures or conversational AI
• Python programming (preferred), API integration
• AI/LLM capabilities:Prompt engineering, RAG pipelines,Model evaluation and tuning

Note:

This is a 6 months renewable contract role (contract can be extended/renewed further based on your performance). Kindly don't apply if you are looking for a part-time, freelancing, and moonlighting jobs.