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AI Factory Solutions Developer Group Technology Services

Job in Cape Town, 7561, South Africa
Listing for: Advania Group
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), M365, SharePoint & Power Platform
Salary/Wage Range or Industry Benchmark: 75000 - 91000 ZAR Monthly ZAR 75000.00 91000.00 MONTH
Job Description & How to Apply Below
Position: AI Factory Solutions Developer Group Technology Services   ·
AI Factory Solutions Developer

Position Overview

The AI Factory Solutions Developer is a hands-on role within Advania UK’s internal AI Factory, helping accelerate our transformation through AI.

Working alongside the AI Factory Lead Architect, you’ll turn prioritised business use cases into impactful AI agents, automations, apps and dashboards, primarily using Microsoft technologies including Copilot Studio, Microsoft Foundry, Azure and Power Platform. You’ll bring a foundation in coding, Power Platform or both, with the curiosity and ambition to develop across low-code and pro-code AI solutions.

As your skills grow, you’ll take on increasingly complex solutions involving generative AI, APIs, MCP tools, Copilot extensions and Azure-hosted applications, while learning directly from experienced architects and AI specialists.

You’ll build within established architecture and standards, contribute to testing and use-case discovery, and support Advania’s wider AI community by sharing approved templates and patterns, creating a strong career path to grow your technical expertise within AI.

Salary & Benefits

The budgeted salary for this role is between 75,000 - 91,000 ZAR monthly
, depending on experience.

Hybrid working

We recognise the benefits that remote and flexible working brings.

We operate a hybrid working policy that allows our employees to balance time in the office and time from home. Each team within our organisation can decide how to implement this policy.

Responsibilities
  • Build and configure AI agents in Copilot Studio and Microsoft Foundry – instructions, skills, tools and knowledge sources – following the patterns and designs set by the team's architects
  • Follow and help enhance governance guardrails already in place for Copilot Studio and Power Platform
  • Develop web apps and dashboards using agentic dev tools such as Git Hub Copilot
  • Support discovery and testing of use cases – helping validate that a built agent or automation meets the need it was designed for
  • Help keep built solutions supportable – basic monitoring checks, simple documentation, and raising issues promptly to senior team members
  • Take part in code and design reviews as both reviewer-in-training and reviewee, using feedback to improve your engineering practice
  • Keep learning – build your knowledge of Copilot Studio, Power Platform, and foundational AI concepts (including RAG and Microsoft Foundry) as the team's use of these grows
What Success Looks Like
  • Consistently deliver agreed pieces of build work on time and to the quality standard set by the team
  • The agents and automations you build are genuinely used and trusted by the business teams they were built for
  • Follow the governance guardrails already in place, flagging anything unclear or at risk rather than working around it
  • Coding and Copilot Studio skills are visibly developing over time, supported by regular feedback from senior team members
  • You are a reliable, proactive member of the team who senior colleagues are happy to hand build work to
Qualifications & Experience
  • Hands-on experience building agents in Copilot Studio – topics, actions, connections and basic knowledge sources
  • A background in the wider Power Platform – Power Apps, Power Automate and/or Dataverse
  • Some exposure to software development – comfortable reading and writing simple code (e.g. Python, C# or JavaScript/Type Script) at least, and keen to build on this with the support of agentic dev tools such as Git Hub Copilot
  • A basic understanding of Copilot Studio and Power Platform governance fundamentals – environments, connections, DLP and data handling
  • A genuine enthusiasm for AI and automation, and a willingness to learn new tools and techniques quickly
Desirable
  • Awareness of AI techniques such as RAG…
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