AI Developer

Summary of Role

The AI Developer is responsible for designing, developing, testing, and deploying AI-powered solutions using the Microsoft AI ecosystem. The role focuses on delivering business-driven AI use cases, building reusable AI components, and enabling enterprise adoption of Microsoft AI technologies.

Responsibilities

AI Solution Development

• Design, develop, test, and deploy AI-powered applications, copilots, virtual assistants, and AI agents.
• Configure and develop solutions using Azure AI Foundry, Copilot Studio, Azure AI Services, and Azure OpenAI.
• Build prompt orchestration, workflows, integrations, and conversational experiences.
• Develop and configure AI agents to automate business processes and enhance user experiences.
• Support the delivery of proofs of concept (PoCs), pilots, MVPs, and production implementations.
• Contribute to reusable AI accelerators, frameworks, and development standards.

Technical Delivery

• Translate business requirements into practical AI and automation solutions.
• Integrate AI capabilities with enterprise applications, APIs, databases, and business systems.
• Develop secure and scalable integrations using Microsoft Graph, APIs, custom connectors, and Azure services.
• Perform testing, troubleshooting, debugging, and performance optimisation.
• Document technical designs, deployment guides, solution architecture, and operational procedures.

Engineering Excellence

• Follow established engineering standards, coding practices, and architectural principles.
• Participate in technical design reviews, peer reviews, and code reviews.
• Ensure AI solutions meet security, compliance, scalability, and maintainability requirements.
• Support continuous improvement of AI engineering practices and development methodologies.
• Apply Responsible AI principles throughout the solution lifecycle.

Collaboration & Stakeholder Engagement

• Collaborate with business stakeholders, product owners, architects, engineers, and testers.
• Participate in Agile ceremonies including sprint planning, stand-ups, backlog refinement, and retrospectives.
• Support knowledge transfer, demonstrations, and enablement initiatives.
• Contribute to the growth of internal AI capabilities and communities of practice.

Experience

• 2–5 years of software development experience.
• Experience delivering solutions within enterprise technology environments.
• Hands-on experience developing and deploying AI, automation, or digital solutions.
• Experience integrating applications, APIs, and business systems.
• Experience working within Agile delivery teams.
• Exposure to cloud-based application development and deployment.

Qualifications

• Matric and a Degree or Diploma in Computer Science

Technical Skills

Microsoft AI Technologies

• Azure AI Foundry
• Azure OpenAI Service
• Copilot Studio
• Azure AI Services
• Generative AI solutions
• Large Language Models (LLMs)
• Prompt Engineering
• AI Agent Development

Development & Integration

• REST APIs
• Authentication and Security Principles
• System Integrations
• Data Integration
• Testing and Debugging
• Technical Documentation

Cloud & Engineering

• Microsoft Azure
• Azure App Services
• Azure Storage
• Azure Identity and Access Management
• CI/CD Fundamentals
• Secure Development Practices

Advantageous Skills

• Power Platform
• Power Automate
• Power Apps
• Microsoft Fabric
• Azure Functions
• Logic Apps
• Microsoft Graph
• Custom Connectors
• DevOps and CI/CD Pipelines
• GitHub or Azure DevOps

Programming Languages

• Python
• JavaScript / TypeScript
• C#
• Java
• SQL

Preferred Certifications

• Microsoft Applied Skills: Build AI Apps with Azure AI Foundry
• Microsoft Copilot Studio Certification
• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Microsoft Azure Fundamentals (AZ-900)
• Microsoft Power Platform Fundamentals (PL-900)

Advantageous

• Microsoft Fabric Analytics Engineer
• Azure Developer Associate (AZ-204)
• Azure Solutions Architect Expert