8 Assistant engineer Jobs and Work in Johannesburg Gauteng

AI Enablement Analyst
Nedbank —Johannesburg, Gauteng
1d
R&D Engineer
Epiroc —Johannesburg, Gauteng 2000
6d
Construction Manager(On-site Cape Town)
Utopia —Johannesburg, Gauteng
- Full-time
Quick Apply
Founding Engineer
Share —Johannesburg, Gauteng
- Full-time
- Remote
Quick Apply
Senior Back End Engineer
Elixirr Digital —Johannesburg, Gauteng
- Full-time
Quick Apply
Senior UX Designer
Sage —Johannesburg, Gauteng
Lead AI Engineer (LLMs & Agents)
Elixirr Digital —Johannesburg, Gauteng
- Full-time
Quick Apply
AI Engineer (LLMs & Agents)
Elixirr Digital —Johannesburg, Gauteng
- Full-time
Quick Apply

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R&D Engineer
Epiroc —Johannesburg, Gauteng 2000
Overall responsibility for the R&D Test Engineer is to maintain the efficient operation of the RGU Application Centre and team, expansion of product and…
6d
Project Engineer
Pump and Abrasion Technologies —Centurion, Gauteng
Eng or BSc.Eng degree in Mechanical or Process Engineering. Must display a strong mechanical and or process engineering ability. 0-2 years working experience.
R240 000 a year

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AI Enablement Analyst

Nedbank -
Johannesburg, Gauteng

Apply Now

Job Details

1 day ago

Full Job Description

Job Purpose

The AI Enablement Analyst is responsible for discovering, analysing, designing, building, testing, and optimizing AI-powered solutions that solve business problems and deliver measurable value.

The role combines the responsibilities of a traditional Business Analyst, Solution Analyst, AI Engineer, and Quality Engineer into a single AI-native delivery role. Working across the full delivery lifecycle, the AI Enablement Analyst partners with business stakeholders to define requirements, designs AI-enabled solutions, builds agents and automations using modern AI platforms, and ensures solutions meet business, risk, and governance requirements.

Job Responsibilities

Primary

Work within the CIB AI Squad to analyse, design, prototype; develop and deliver Agentic AI solutions for business workflow, productivity, operational efficiency, risk reduction and client experience use cases across CIB.
Elicit, document, and refine business requirements (e.g. user stories; acceptance criteria; process models; functional and non-functional requirements; business rules)
Map end-to-end business processes and decision flows.

Agentic Engineering:

Leverage AI-assisted development tools to accelerate solution delivery.
Use agentic coding platforms to generate, review, refactor, and test code.
Build and maintain prompt libraries, agent instructions, and reusable patterns.
Collaborate with engineering teams to operationalize AI-generated code.

Build and configure AI solutions using platforms such as:

Microsoft Copilot Studio
Azure AI Foundry
Microsoft Power Platform, including Power Automate
Enterprise AI and prompt frameworks
AI agents and multi-agent workflows
GitHub Copilot and other AI coding assistants
Knowledge sources and retrieval patterns
Business process automation
API integrations and integration platforms

Testing & Quality Engineering

Develop and execute functional, integration, and user acceptance test plans.
Build AI-specific evaluation frameworks and benchmark datasets.
Validate: Response accuracy; Business rule compliance; Reliability; Security and governance requirements
Conduct solution readiness reviews before production deployment.
Manage defects and continuous improvement activities
Contribute hands-on to the development, configuration, prototyping and testing of AI agents, automations and small point solutions using approved enterprise platforms and development practices.
Apply basic coding and scripting; configuration or low-code/no-code development where appropriate and be able to evolve into more complex engineering work

Secondary

Engage with business stakeholders to identify opportunities for AI, automation, and digital transformation.
Support workshops, design thinking sessions, and process discovery exercises.
Analyse current-state processes and identify improvement opportunities.
Translate business problems into AI-enabled use cases and solution backlogs.
Quantify business value, benefits, risks, and implementation feasibility.
Identify data, system integration, and governance requirements.
Ensure requirements traceability from business need through implementation.

Essential Qualifications- NQF Level

Advanced Diploma, National First Degree or equivalent qualification in Information Technology, Computer Science, Information Systems, Software Engineering, Data Science, Business Analysis, Informatics, Business Information Systems, Engineering or a related technology/business discipline.

Preferred Qualification

Postgraduate qualification and/or formal certification in Business Analysis, Agile, Software Development, AI, Generative AI, Agentic AI, Data Science, Automation, Microsoft Power Platform, Copilot Studio, Azure AI Foundry or related digital technology disciplines. Financial services, banking, CIB or digital transformation-related qualifications will be advantageous

Essential Certifications

Business Analysis, Agile/Scrum, software development, automation, AI, Microsoft Power Platform, cloud, data analytics or related technical certification would be required or must be obtained within an agreed timeframe

Preferred Certifications

IIBA endorsed BA certification, SAFe or agile certification, Microsoft Power Platform, Microsoft Azure AI, Copilot Studio, AI Foundry, Python, automation or relevant AI/agent development certification will be advantageous.

Minimum Experience Level

2–5 years’ experience as a Business Analyst or in a technical delivery role that required exposure to business stakeholders and business requirements, preferably in an agile scrum team, with exposure to AI, Agentic AI, automation, low-code/no-code platforms, scripting, configuration, prototyping or software development. The ideal candidate has foundational BA capability and practical technical aptitude, with the ability to translate business needs into delivery-ready requirements while also contributing to the build, configuration and testing of agents or small point solutions. Experience in banking, financial services, CIB, digital transformation or regulated environments will be advantageous

Technical / Professional Knowledge

Research methodology
BA Body Of Knowledge
Business writing skills
Agile Concepts
Data and Business analysis
Process Engineering Skills
Global business analysis Trend
Business Analysis Descipline , Techniques and Practices
Microsoft Office Product

Behavioural Competencies

Decision Making
Building partnerships
Technical/Professional Knowledge and Skills
Initiating Action
Continuous Improvement
Customer Orientation

Please contact the Nedbank Recruiting Team at +27 860 555 566

Apply Now

Refine Your Search

assistant engineer jobs in johannesburg gauteng

AI Enablement Analyst

R&D Engineer

Construction Manager(On-site Cape Town)

Founding Engineer

Senior Back End Engineer

Senior UX Designer

Lead AI Engineer (LLMs & Agents)

AI Engineer (LLMs & Agents)

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