AI Platform Engineer

1 week ago

Cape Town, Western Cape, South Africa MBN Solutions Full time

AI Platform Engineers

700,000 Rand - 1.6 million Rand + Benefits Depending on Experience

Fully Remote, Offices in Cape Town & Johannesburg

We are seeking a team of
AI Platform Engineers Engineers
to design, build, and deliver cutting-edge customer-facing AI solutions for a leading Consultancy who specialises on CX and Contact Centre solutions.

Sitting at the intersection of technology, product, and customer experience, you will rapidly prototype and iterate on AI-powered experiences that demonstrate business value, inspire customers, and inform our product roadmap.

Any experience applying Agentic solutions within Consulting, Customer Experience or Contact Centres is a advantage.

The offices are based in either Johannesburg or Cape Town with remote/flexible options WITHIN South Africa.

Key Responsibilities

  • Design and deliver AI-driven prototypes and proof-of-concepts for customer-facing use cases.
  • Collaborate closely with Product, Engineering, and Sales teams to shape solution design and delivery.
  • Engage with customers to understand their pain points, goals, and success metrics.
  • Build business cases and ROI models to quantify solution impact.
  • Provide technical guidance on LLMs, prompt design, and orchestration techniques.
  • Translate business requirements into data flows, process maps, and AI-enabled journeys.
  • Document learnings, patterns, and best practices to support reuse and scaling.
  • Promote ethical, safe, and transparent AI practices across projects.

Key Skills & Experience

  • Strong programming ability, ideally with Python.
  • Hands-on experience with Generative AI tools, frameworks, and orchestration techniques.
  • Background in customer experience or service design, including journey mapping.
  • Experience in ROI modelling and business case development.
  • Ability to collaborate across sales, product, and engineering teams.
  • Excellent communication and storytelling skills, especially using data.
  • Awareness of ethical AI principles and responsible AI practices.

Critical Thinking

  • Analyse complex problems and identify AI-driven solutions.
  • Evaluate trade-offs between technical feasibility, scalability, and user impact.

Creativity & Innovation

  • Apply AI creatively to solve real-world challenges.
  • Contribute to ideation and experimentation across use cases.

Collaboration

  • Work cross-functionally with Product Managers, Engineers, and Sales.
  • Share insights and feedback between internal and external teams.

Communication

  • Translate technical concepts into clear, actionable insights.
  • Document learnings, use cases, and best practices for internal reuse.

Customer-Centric Mindset

  • Understand customer pain points and business goals.
  • Design solutions that deliver measurable value and impact.

Curiosity & Continuous Learning

  • Stay up to date with AI trends, tools, and frameworks.
  • Experiment with new approaches and share findings with the team

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