AI Implementation Engineer for Rapid Business Value

Aculocity

Durbanville

On-site

ZAR 900,000 - 1,300,000

Full time

14 days+

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Job summary

Aculocity is seeking an AI Implementation Expert to turn AI opportunities into real business value. You will identify automation opportunities, prototype AI solutions, and deploy copilots and AI workflows within existing systems. The role blends business analysis, AI prototyping, and ML implementation to deliver tangible outcomes.

You will work with tools like Azure OpenAI and Copilot Studio, designing scalable solutions, establishing governance, and driving adoption across Centers of Excellence.

Qualifications

  • Degree in Data Science, Computer Science, Engineering, or related discipline; master’s/PhD a plus.
  • Certifications in Microsoft Power Platform, Azure AI, or Applied Data Science are a plus.
  • Proven track record delivering AI/analytics/automation with business impact.
  • Experience in AI product development, business analysis, or technical consulting.

Responsibilities

  • Engage with stakeholders to identify AI opportunities with measurable ROI.
  • Translate needs into defined AI use cases with clear inputs/outputs and ROI.
  • Draft high-level designs including model inputs, outputs, and integration points.
  • Design end-to-end AI workflows and rapid AI solutions using Azure OpenAI, Copilot, ChatGPT.
  • Build and deploy ML models; integrate AI with data sources and systems.
  • Define success metrics, ROI, and governance; monitor and iterate.

Skills

AI/ML product development
Business analysis
Workshops facilitation
Technical consulting

Education

Data Science degree
Computer Science degree
Engineering degree
Master’s or PhD a plus

Tools

Python
SQL
Azure ML
Power BI
Microsoft Fabric
REST APIs
Copilot Studio
Azure OpenAI

Job description

Aculocity is seeking an AI Implementation Expert to turn AI opportunities into real business value. You will identify automation opportunities, prototype AI solutions, and deploy copilots and AI workflows within existing systems. The role blends business analysis, AI prototyping, and ML implementation to deliver tangible outcomes.

You will work with tools like Azure OpenAI and Copilot Studio, designing scalable solutions, establishing governance, and driving adoption across Centers of Excellence.

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