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AI Solution Engineer

MBN Solutions

Wes-Kaap

Remote

ZAR 1 100 000 - 1 600 000

Full time

Today
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Job summary

A leading Consultancy is seeking AI Solutions Engineers to design and deliver customer-facing AI solutions. The role involves collaborating with cross-functional teams to develop prototypes, engaging with customers, and understanding their needs. Strong programming skills in Python, experience with Generative AI tools, and a customer-centric mindset are essential. This position offers remote options across South Africa.

Qualifications

  • Strong programming skills in Python are essential.
  • Experience with Generative AI frameworks and techniques is needed.
  • A background in customer experience or service design is beneficial.

Responsibilities

  • Design AI-driven prototypes and proof-of-concepts.
  • Collaborate with Product and Engineering teams.
  • Engage with customers to understand their needs.
  • Build business cases and calculate ROI.

Skills

Programming ability (Python)
Experience with Generative AI tools
Customer experience background
Experience in ROI modelling
Collaboration skills
Communication and storytelling skills
Ethical AI awareness
Job description
AI Solutions Engineers
1.1 million - 1.6 million Rand + Benefits Depending on Experience

Fully Remote, Offices in Cape Town & Johannesburg

We are seeking a team of AI Solutions 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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