65 AI Consultant jobs in South Africa

AI Solutions Engineer (QA & Prototyping) (Call Centre BPO)

Employment Type:
 Contract

Key Responsibilities:

Our client in the BPO industry is looking for a 
multifaceted AI professional
who thrives at the intersection of 
quality assurance, AI development, and client collaboration
. In this role, you'll ensure the reliability of their AI solutions while designing and building 
prototypes, proof-of-concepts (POCs), and automation workflows
 that drive measurable business value.

Required Qualifications:

• Design, build, and test small-scale AI prototypes and automation workflows.
• Experiment with 
  LLMs, APIs, and conversational AI platforms
   to validate use cases.
• Develop and execute 
  manual and automated test plans
   for bots, APIs, and integrations.
• Analyze training data and system outputs to identify trends, gaps, and improvement areas.
• Implement 
  monitoring, compliance, and fallback strategies
   for AI systems.
• Collaborate with developers, stakeholders, and clients to translate technical insights into business impact.

Experience:

• Bachelor's degree in 
  Computer Science, Engineering, Data Science
  , or related field.
• Min 3 years solid experience with 
  QA methodologies
   and automation tools (Selenium, Playwright, Cypress, Appium).
• Strong knowledge of 
  API testing
   (Postman, Karate, RestAssured).
• Hands-on experience with 
  conversational AI platforms
   (Amazon Lex, Salesforce Einstein Bots, Voiceflow, etc.) and 
  AI/LLM APIs
   (OpenAI, Anthropic, ElevenLabs).
• QA certifications (ISTQB) or Agile certifications (Scrum/SAFe).
• Proficiency in 
  data analysis tools
   (SQL, Python/Pandas).
• Familiarity with 
  cloud environments
   (AWS, Azure, GCP), 
  CI/CD
  , and 
  scripting
   (Python, Bash).
• Excellent communication skills and ability to engage with clients.
• Business acumen to connect AI capabilities to 
  ROI and operational outcomes
  .
• Fluency in English (C1+).

If you meet the above requirements and are ready to contribute to the success of a growing mining operation, kindly submit your application to  | 
Deadline for submissions: Friday, 17
th
October  2025.

Our client is an equal-opportunity employer and welcomes applications from individuals of all backgrounds. 
If you think you're a fit, please apply Please include "AI Engineer" in the subject line.

AI Solutions Engineer (QA & Prototyping) (Call Centre BPO)

Employment Type:
 Contract

Key Responsibilities:

Our client in the BPO industry is looking for a 
multifaceted AI professional
—who thrives at the intersection of 
quality assurance, AI development, and client collaboration
. In this role, you'll ensure the reliability of their AI solutions while designing and building 
prototypes, proof-of-concepts (POCs), and automation workflows
 that drive measurable business value.

Required Qualifications:

• Design, build, and test small-scale AI prototypes and automation workflows.
• Experiment with 
  LLMs, APIs, and conversational AI platforms
   to validate use cases.
• Develop and execute 
  manual and automated test plans
   for bots, APIs, and integrations.
• Analyze training data and system outputs to identify trends, gaps, and improvement areas.
• Implement 
  monitoring, compliance, and fallback strategies
   for AI systems.
• Collaborate with developers, stakeholders, and clients to translate technical insights into business impact.

Experience:

• Bachelor's degree in 
  Computer Science, Engineering, Data Science
  , or related field.
• Solid experience with 
  QA methodologies
   and automation tools (Selenium, Playwright, Cypress, Appium).
• Strong knowledge of 
  API testing
   (Postman, Karate, RestAssured).
• Hands-on experience with 
  conversational AI platforms
   (Amazon Lex, Salesforce Einstein Bots, Voiceflow, etc.) and 
  AI/LLM APIs
   (OpenAI, Anthropic, ElevenLabs).
• QA certifications (ISTQB) or Agile certifications (Scrum/SAFe).
• Proficiency in 
  data analysis tools
   (SQL, Python/Pandas).
• Familiarity with 
  cloud environments
   (AWS, Azure, GCP), 
  CI/CD
  , and 
  scripting
   (Python, Bash).
• Excellent communication skills and ability to engage with clients.
• Business acumen to connect AI capabilities to 
  ROI and operational outcomes
  .
• Fluency in English (C1+).

If you meet the above requirements and are ready to contribute to the success of a growing mining operation, kindly submit your application to  | 
Deadline for submissions: Friday, 17
th
October  2025.

Our client is an equal-opportunity employer and welcomes applications from individuals of all backgrounds. 
If you think you're a fit, please apply Please include "AI Engineer" in the subject line.

Triz Engineering Solutions
is seeking a business-oriented, innovation-driven problem solver to join us as an
AI Solutions Lead

.
The ideal candidate will have a deep understanding of how the business operates and how complex workflows function, bringing structured problem-solving and hands-on thinking to the table. This position is business-driven and focused on operational strategy and innovation and is
not
a
software
or
coding position
. It is specifically
no
t suited to persons pursuing
programming
or
data science
, as it does not involve coding or technical model development.

Triz Engineering Solutions ) is a product engineering and development company specializing in end-to-end turn-key commercial vehicle development.

Position Summary:

The
AI Solutions Lead
will be responsible for identifying high-impact opportunities for Artificial Intelligence across the organisation and driving real-world implementation through collaboration with third-party experts and internal coordination.

Key Responsibilities
:

1. Identify High-Value Use Cases

2. Walk the floor, engage teams, and map workflows to determine where AI can unlock productivity, business insights, or automation and competitive advantages.

3. Develop a wide and deep understanding of industry and business trends, identify and translate opportunities and challenges into structured problem and solutions statements.

4. Use your understanding of physical processes, constraints, and technology to assess viability

5. Build the Business Case

6. Prioritize opportunities based on business impact, effort, and speed to value.

7. Develop clear, ROI-driven business cases that align with operational goals.

8. Present and communicate these opportunities to senior leadership and stakeholders.

9. Engage the Right Expertise

10. Scout, evaluate, and collaborate with third-party AI vendors, domain experts, and technology providers.

11. Serve as the internal project lead — translating business needs to external providers and ensuring delivery stays aligned with outcomes.

12. You don't build the tech — you guide the vision, manage the outcomes, and ensure it solves the right problem.

13. Lead Implementation & Change

14. Coordinate implementation efforts across business units and external partners.

15. Define success metrics, monitor progress, and remove roadblocks to execution.

16. Develop and lead training efforts to build awareness and capability around the new tools or workflows.

17. Promote Innovation Across the Organization

18. Champion a practical understanding of AI — what it is, what it isn't, and where it can help.

19. Host workshops, lead internal demonstrations, and empower teams to think differently.
20. Help build a culture that is open to experimentation and continuous improvement.

Qualifications, Experience and Skills:

• Bachelor's or Master's degree in Business, Engineering, Innovation, Operations, or a related field.
• 5+ years of experience in operations, product development, innovation, continuous improvement, or business transformation.
• Proven ability to lead cross-functional initiatives and manage external technology partners.
• Fluent in English, with exceptional written, verbal, and interpersonal communication skills, capable of engaging confidently across technical and executive audiences.
• Able to influence across technical and business domains.
• Has strong business instincts.
• Naturally curious, hands-on, and relentless about solving real problems.
• Not afraid of technology, but more focused on what it enables rather than how it works under the hood.
• Attention to detail and accuracy in work
• Ability to handle confidential information with discretion.
• Excellent organizational and multitasking abilities.
• Outstanding organisational and time management skills
• Willingness to travel internationally

Nice to Have (But Not Required):

• Familiarity with AI/ML applications in operations or manufacturing.
• Experience working with technology vendors, solution providers, or consultants.
• Exposure to innovation frameworks like Lean, Six Sigma, Design Thinking, or Agile.

Remuneration:

We offer a highly competitive remuneration package.

Only shortlisted candidates will be contacted

Location: Cape Town

Working Practices: Hybrid | Mondays and Thursday in office and remaining days remote

Contract Type: Permanent

Working Hours: 10H00 - 18H30 SAST

Job Summary:

As an AI Solution Architect, you will design and implement AI solutions that drive business growth and educational innovation. You will be responsible for bridging the gap between business needs and technical AI implementations, ensuring that AI models and systems integrate seamlessly with organizational infrastructure and are aligned with business and educational goals. 

Key Responsibilities:

Sales Support

• Effectively contribute to pre-sales consultation with account executives to align GenAI services with client requirements.
• Support the development of sales collateral for sales initiatives, including sales presentations, application prototypes, and live demonstrations.
• Collaborate with account executives, learning architects, and bid writers to outline AI services and technical solutions
• Conduct feasibility studies, cost-analysis, and estimation efforts for AI implementations
• Provide technical validation and effort estimation for GenAI Apps and LX Technology opportunities

Strategy and Framework Development:

• Collaborate with the client's project lead to align on priorities, needs, and technical requirements
• Provide a blueprint of technical architectural solutions for AI implementations
• Collaborate with the learning architect and project managers to integrate the GenAI strategy, tools, and processes into the Learning Strategy Framework and Project Master Plan
• Define AI application architecture, including and not limited to, foundation model selection, prompting frameworks, statistical parameters, RAG systems, and implementation strategies

Technical Architecture and Implementation:

• Support the design and implementation of robust AI application architectures
• Architect scalable AI solutions that integrate with existing educational technology infrastructure
• Ensure AI systems are optimized for performance, security, privacy, and regulatory compliance
• Oversee the technical implementation of AI-augmented design solutions and student-facing technologies

Cross-Functional Collaboration

• Collaborate with GenAI team throughout the software development lifecycle
• Work closely with the Learning teams on systems prompting, where instructional strategies like mastery learning and Socratic tutoring define application behaviour
• Collaborate on knowledge bases and RAG systems, integrating vector databases for efficient information retrieval
• Collaborate with the Learning teams to ensure alignment between AI output and instructional principles through the implementation of effective training techniques
• Facilitate training sessions with learning technologists and cross-functional teams to improve AI literacy and project outcomes

Project Management and Governance

• Collaborate with the Head of Delivery to define GenAI objectives, and create and manage the roadmap for AI implementation projects
• Establish workflows for projects, ensuring proper resource allocation
• Implement compliance, governance, and ethics frameworks, particularly aligning with United Nations human rights principles
• Maintain key documentation (e.g. system architecture, deployment guides & runbooks, configuration management, pre-sales materials, governance policies & procedures, risk registers), for new and ongoing AI projects
• Ensure human-centered design practices and human oversight in AI-augmented design

Data Visualization and Data-Driven Decision-Making

• Develop structured datasets that capture human-AI collaboration metrics
• Develop and maintain interactive data visualization dashboards that enable real-time monitoring
• Utilize data-driven insights to refine human-augmented design processes, optimize AI-human task allocation, and improve collaborative workflows
• Present efficiency data and ROI findings to executive stakeholders through clear and  compelling documentation that demonstrates the business value of human-augmented approaches

What does success look like?

• Successful delivery of AI solutions within project timelines and budget constraints
• AI implementation efficiency gains (target: 30% reduction in manual processes)
• Client satisfaction and successful project implementations
• Revenue generation from AI-driven solutions and successful POC conversions
• Effective collaboration with cross-functional teams and stakeholders
• Compliance with security and governance standards (100% compliance target)
• Innovation impact through scalable AI architecture designs

Requirements

Qualifications and Technical Expertise

• Bachelor's degree in Software Engineering, Education, AI/ML, Business or related fields
• Experience in AI/ML solution architecture and implementation
• Advanced understanding of Large Language Models (OpenAI, Anthropic Claude, Gemini)
• Proficiency with GenAI frameworks (Langchain, ChromaDB) and AI/ML platforms (Hugging Face)
• Experience with cloud services (Azure, AWS) and deployment platforms
• Knowledge of API programming, particularly Python and JavaScript
• Understanding of vector databases and RAG system implementation

Business and Strategic Skills

• Proven experience in pre-sales technical consulting and client-facing roles
• Strong project management capabilities with experience in agile methodologies
• Ability to conduct feasibility studies and cost-benefit analyses
• Experience with stakeholder management and cross-functional collaboration
• Knowledge of compliance and governance frameworks in educational technology

Educational Technology Knowledge

• Understanding of instructional design principles and learning theories
• Experience with Learning Management Systems (LMS) and educational technology platforms
• Knowledge of data privacy regulations (FERPA, GDPR) in educational contexts
• Familiarity with pedagogical considerations and instructional design workflows

Preferred Qualifications and Experience

• Relevant certification from AWS and Azure
• Background in change management and technology adoption strategies
• Knowledge of educational compliance standards and data governance
• Experience with containerization (Docker) and CI/CD pipelines
• Understanding of human-centered design principles

Benefits

About OES

OES is a vibrant and values-led organisation, and we are passionate about enhancing lives through education. We work with university partners, training institutes, and professional bodies worldwide, to develop and enable immersive and engaging learning experiences. We empower our teams to be student-focused, innovative, and embrace change with a growth mindset to ensure we achieve our vision of being the world's most impactful enabler of education. We encourage our people to grow and develop through teamwork and a diverse range of projects, programs and challenging work. We trust our people to deliver, so when you work with OES, you will join a team who are empowered to impact every day.

Company Culture & Values

We are a people-focused organization with a culture built around collaboration, connection, and working together toward one common goal. Our vibrant, values-led culture is grounded in four core principles that guide everything we do:

Passion and Perseverance:
We love what we do (even though it's not always easy) and take pride in creating transformative learning experiences. We bring a 'can-do' attitude to our work, tackling challenges and inspiring others.

Teamwork:
We operate as cross-functional teams globally with trust and respect, celebrating success. We have fun while we work and enjoy collaborating with each other and OES partners.

Agility and Innovation:
We are innovative, lateral thinkers who use our skills to do things better for our students. We thrive in ambiguity, embrace change and challenge conventional thinking.

Integrity:
We do what's right, and what we say we will do, every time. We value a culture of respectful feedback and believe that respect trumps harmony. 

These are some of the perks you can expect when you join the team:

• Employee Assistance Program (EAP)
• Medical allowance
• Commute allowance
• Flexible work for genuine career-life fit
• A healthy and supportive company culture
• Generous annual leave
• Paid maternity and paternity benefits
• Study leave
• Professional development and mentoring
• Construct Culture Club events
• Company funded lunch and drinks every 6 weeks

*Policy T&Cs apply for certain benefits

Location: Cape Town

Working Practices: Hybrid | Mondays and Thursday in office and remaining days remote

Contract Type: Permanent

Working Hours: 10H00 - 18H30 SAST

Job Summary:

As an AI Solution Architect, you will design and implement AI solutions that drive business growth and educational innovation. You will be responsible for bridging the gap between business needs and technical AI implementations, ensuring that AI models and systems integrate seamlessly with organizational infrastructure and are aligned with business and educational goals.

Key Responsibilities:

Sales Support

• Effectively contribute to pre-sales consultation with account executives to align GenAI services with client requirements.
• Support the development of sales collateral for sales initiatives, including sales presentations, application prototypes, and live demonstrations.
• Collaborate with account executives, learning architects, and bid writers to outline AI services and technical solutions
• Conduct feasibility studies, cost-analysis, and estimation efforts for AI implementations
• Provide technical validation and effort estimation for GenAI Apps and LX Technology opportunities

Strategy and Framework Development:

• Collaborate with the client's project lead to align on priorities, needs, and technical requirements
• Provide a blueprint of technical architectural solutions for AI implementations
• Collaborate with the learning architect and project managers to integrate the GenAI strategy, tools, and processes into the Learning Strategy Framework and Project Master Plan
• Define AI application architecture, including and not limited to, foundation model selection, prompting frameworks, statistical parameters, RAG systems, and implementation strategies

Technical Architecture and Implementation:

• Support the design and implementation of robust AI application architectures
• Architect scalable AI solutions that integrate with existing educational technology infrastructure
• Ensure AI systems are optimized for performance, security, privacy, and regulatory compliance
• Oversee the technical implementation of AI-augmented design solutions and student-facing technologies

Cross-Functional Collaboration

• Collaborate with GenAI team throughout the software development lifecycle
• Work closely with the Learning teams on systems prompting, where instructional strategies like mastery learning and Socratic tutoring define application behaviour
• Collaborate on knowledge bases and RAG systems, integrating vector databases for efficient information retrieval
• Collaborate with the Learning teams to ensure alignment between AI output and instructional principles through the implementation of effective training techniques
• Facilitate training sessions with learning technologists and cross-functional teams to improve AI literacy and project outcomes

Project Management and Governance

• Collaborate with the Head of Delivery to define GenAI objectives, and create and manage the roadmap for AI implementation projects
• Establish workflows for projects, ensuring proper resource allocation
• Implement compliance, governance, and ethics frameworks, particularly aligning with United Nations human rights principles
• Maintain key documentation (e.g. system architecture, deployment guides & runbooks, configuration management, pre-sales materials, governance policies & procedures, risk registers), for new and ongoing AI projects
• Ensure human-centered design practices and human oversight in AI-augmented design

Data Visualization and Data-Driven Decision-Making

• Develop structured datasets that capture human-AI collaboration metrics
• Develop and maintain interactive data visualization dashboards that enable real-time monitoring
• Utilize data-driven insights to refine human-augmented design processes, optimize AI-human task allocation, and improve collaborative workflows
• Present efficiency data and ROI findings to executive stakeholders through clear and  compelling documentation that demonstrates the business value of human-augmented approaches

What does success look like?

• Successful delivery of AI solutions within project timelines and budget constraints
• AI implementation efficiency gains (target: 30% reduction in manual processes)
• Client satisfaction and successful project implementations
• Revenue generation from AI-driven solutions and successful POC conversions
• Effective collaboration with cross-functional teams and stakeholders
• Compliance with security and governance standards (100% compliance target)
• Innovation impact through scalable AI architecture designs

Qualifications and Technical Expertise

• Bachelor's degree in Software Engineering, Education, AI/ML, Business or related fields
• Experience in AI/ML solution architecture and implementation
• Advanced understanding of Large Language Models (OpenAI, Anthropic Claude, Gemini)
• Proficiency with GenAI frameworks (Langchain, ChromaDB) and AI/ML platforms (Hugging Face)
• Experience with cloud services (Azure, AWS) and deployment platforms
• Knowledge of API programming, particularly Python and JavaScript
• Understanding of vector databases and RAG system implementation

Business and Strategic Skills

• Proven experience in pre-sales technical consulting and client-facing roles
• Strong project management capabilities with experience in agile methodologies
• Ability to conduct feasibility studies and cost-benefit analyses
• Experience with stakeholder management and cross-functional collaboration
• Knowledge of compliance and governance frameworks in educational technology

Educational Technology Knowledge

• Understanding of instructional design principles and learning theories
• Experience with Learning Management Systems (LMS) and educational technology platforms
• Knowledge of data privacy regulations (FERPA, GDPR) in educational contexts
• Familiarity with pedagogical considerations and instructional design workflows

Preferred Qualifications and Experience

• Relevant certification from AWS and Azure
• Background in change management and technology adoption strategies
• Knowledge of educational compliance standards and data governance
• Experience with containerization (Docker) and CI/CD pipelines
• Understanding of human-centered design principles

About OES

OES is a vibrant and values-led organisation, and we are passionate about enhancing lives through education. We work with university partners, training institutes, and professional bodies worldwide, to develop and enable immersive and engaging learning experiences. We empower our teams to be student-focused, innovative, and embrace change with a growth mindset to ensure we achieve our vision of being the world's most impactful enabler of education. We encourage our people to grow and develop through teamwork and a diverse range of projects, programs and challenging work. We trust our people to deliver, so when you work with OES, you will join a team who are empowered to impact every day.

Company Culture & Values

We are a people-focused organization with a culture built around collaboration, connection, and working together toward one common goal. Our vibrant, values-led culture is grounded in four core principles that guide everything we do:

Passion and Perseverance: We love what we do (even though it's not always easy) and take pride in creating transformative learning experiences. We bring a 'can-do' attitude to our work, tackling challenges and inspiring others.

Teamwork: We operate as cross-functional teams globally with trust and respect, celebrating success. We have fun while we work and enjoy collaborating with each other and OES partners.

Agility and Innovation: We are innovative, lateral thinkers who use our skills to do things better for our students. We thrive in ambiguity, embrace change and challenge conventional thinking.

Integrity: We do what's right, and what we say we will do, every time. We value a culture of respectful feedback and believe that respect trumps harmony.

These are some of the perks you can expect when you join the team:

• Employee Assistance Program (EAP)
• Medical allowance
• Commute allowance
• Flexible work for genuine career-life fit
• A healthy and supportive company culture
• Generous annual leave
• Paid maternity and paternity benefits
• Study leave
• Professional development and mentoring
• Construct Culture Club events
• Company funded lunch and drinks every 6 weeks

*Policy T&Cs apply for certain benefits

Location: Cape Town

Working Practices: Hybrid | Mondays and Thursday in office and remaining days remote

Contract Type: Permanent

Working Hours: 10H00 - 18H30 SAST

Role Summary

As an AI Solution Architect, you will design and implement AI solutions that drive business growth and educational innovation. You will be responsible for bridging the gap between business needs and technical AI implementations, ensuring that AI models and systems integrate seamlessly with organizational infrastructure and are aligned with business and educational goals.

Key Responsibilities

Sales Support:

• Effectively contribute to pre-sales consultation with account executives to align GenAI services with client requirements.
• Support the development of sales collateral for sales initiatives, including sales presentations, application prototypes, and live demonstrations.
• Collaborate with account executives, learning architects, and bid writers to outline AI services and technical solutions.
• Conduct feasibility studies, cost-analysis, and estimation efforts for AI implementations.
• Provide technical validation and effort estimation for GenAI Apps and LX Technology opportunities.

Strategy and Framework Development:

• Collaborate with the client's project lead to align on priorities, needs, and technical requirements.
• Provide a blueprint of technical architectural solutions for AI implementations.
• Collaborate with the learning architect and project managers to integrate the GenAI strategy, tools, and processes into the Learning Strategy Framework and Project Master Plan.
• Define AI application architecture, including and not limited to, foundation model selection, prompting frameworks, statistical parameters, RAG systems, and implementation strategies.

Technical Architecture and Implementation:

• Support the design and implementation of robust AI application architectures.
• Architect scalable AI solutions that integrate with existing educational technology infrastructure.
• Ensure AI systems are optimized for performance, security, privacy, and regulatory compliance.
• Oversee the technical implementation of AI-augmented design solutions and student-facing technologies.

Cross-Functional Collaboration:

• Collaborate with GenAI team throughout the software development lifecycle.
• Work closely with the Learning teams on systems prompting, where instructional strategies like mastery learning and Socratic tutoring define application behaviour.
• Collaborate on knowledge bases and RAG systems, integrating vector databases for efficient information retrieval.
• Collaborate with the Learning teams to ensure alignment between AI output and instructional principles through the implementation of effective training techniques.
• Facilitate training sessions with learning technologists and cross-functional teams to improve AI literacy and project outcomes.

Project Management and Governance:

• Collaborate with the Head of Delivery to define GenAI objectives, and create and manage the roadmap for AI implementation projects.
• Establish workflows for projects, ensuring proper resource allocation.
• Implement compliance, governance, and ethics frameworks, particularly aligning with United Nations human rights principles.
• Maintain key documentation (e.g. system architecture, deployment guides & runbooks, configuration management, pre-sales materials, governance policies & procedures, risk registers), for new and ongoing AI projects.
• Ensure human-centered design practices and human oversight in AI-augmented design.

Data Visualization and Data-Driven Decision-Making:

• Develop structured datasets that capture human-AI collaboration metrics.
• Develop and maintain interactive data visualization dashboards that enable real-time monitoring.
• Utilize data-driven insights to refine human-augmented design processes, optimize AI-human task allocation, and improve collaborative workflows.
• Present efficiency data and ROI findings to executive stakeholders through clear and  compelling documentation that demonstrates the business value of human-augmented approaches.

What does success look like?

• Successful delivery of AI solutions within project timelines and budget constraints
• AI implementation efficiency gains (target: 30% reduction in manual processes)
• Client satisfaction and successful project implementations
• Revenue generation from AI-driven solutions and successful POC conversions
• Effective collaboration with cross-functional teams and stakeholders
• Compliance with security and governance standards (100% compliance target)
• Innovation impact through scalable AI architecture designs

Qualifications and Technical Expertise:

• Bachelor's degree in Software Engineering, Education, AI/ML, Business or related fields
• Experience in AI/ML solution architecture and implementation
• Advanced understanding of Large Language Models (OpenAI, Anthropic Claude, Gemini)
• Proficiency with GenAI frameworks (Langchain, ChromaDB) and AI/ML platforms (Hugging Face)
• Experience with cloud services (Azure, AWS) and deployment platforms
• Knowledge of API programming, particularly Python and JavaScript
• Understanding of vector databases and RAG system implementation

Business and Strategic Skills:

• Proven experience in pre-sales technical consulting and client-facing roles
• Strong project management capabilities with experience in agile methodologies
• Ability to conduct feasibility studies and cost-benefit analyses
• Experience with stakeholder management and cross-functional collaboration
• Knowledge of compliance and governance frameworks in educational technology

Educational Technology Knowledge:

• Understanding of instructional design principles and learning theories
• Experience with Learning Management Systems (LMS) and educational technology platforms
• Knowledge of data privacy regulations (FERPA, GDPR) in educational contexts
• Familiarity with pedagogical considerations and instructional design workflows

Desirable Qualifications and Experience:

• Relevant certification from AWS and Azure
• Background in change management and technology adoption strategies
• Knowledge of educational compliance standards and data governance
• Experience with containerization (Docker) and CI/CD pipelines
• Understanding of human-centered design principles

About OES

OES is a vibrant and values-led organisation, and we are passionate about enhancing lives through education. We work with university partners, training institutes, and professional bodies worldwide, to develop and enable immersive and engaging learning experiences. We empower our teams to be student-focused, innovative, and embrace change with a growth mindset to ensure we achieve our vision of being the world's most impactful enabler of education. We encourage our people to grow and develop through teamwork and a diverse range of projects, programs and challenging work. We trust our people to deliver, so when you work with OES, you will join a team who are empowered to impact every day.

Company Culture & Values

We are a people-focused organization with a culture built around collaboration, connection, and working together toward one common goal. Our vibrant, values-led culture is grounded in four core principles that guide everything we do:

Passion and Perseverance: We love what we do (even though it's not always easy) and take pride in creating transformative learning experiences. We bring a 'can-do' attitude to our work, tackling challenges and inspiring others.

Teamwork: We operate as cross-functional teams globally with trust and respect, celebrating success. We have fun while we work and enjoy collaborating with each other and OES partners.

Agility and Innovation: We are innovative, lateral thinkers who use our skills to do things better for our students. We thrive in ambiguity, embrace change and challenge conventional thinking.

Integrity: We do what's right, and what we say we will do, every time. We value a culture of respectful feedback and believe that respect trumps harmony. 

These are some of the perks you can expect when you join the team:

• Employee Assistance Program (EAP)
• Medical allowance
• Commute allowance
• Flexible work for genuine career-life fit
• A healthy and supportive company culture
• Generous annual leave
• Paid maternity and paternity benefits
• Study leave
• Professional development and mentoring
• Construct Culture Club events
• Company funded lunch and drinks every 6 weeks

*Policy T&Cs apply for certain benefits

Location: Cape Town
Working Practices: Hybrid | Mondays and Thursday in office and remaining days remote
Contract Type: Permanent
Working Hours: 10H00 - 18H30 SAST
Role Summary
As an AI Solution Architect, you will design and implement AI solutions that drive business growth and educational innovation. You will be responsible for bridging the gap between business needs and technical AI implementations, ensuring that AI models and systems integrate seamlessly with organizational infrastructure and are aligned with business and educational goals.

Key Responsibilities
Sales Support:

• Effectively contribute to pre-sales consultation with account executives to align GenAI services with client requirements.
• Support the development of sales collateral for sales initiatives, including sales presentations, application prototypes, and live demonstrations
• Collaborate with account executives, learning architects, and bid writers to outline AI services and technical solutions
• Conduct feasibility studies, cost-analysis, and estimation efforts for AI implementations
• Provide technical validation and effort estimation for GenAI Apps and LX Technology opportunities

Strategy and Framework Development:

• Collaborate with the client's project lead to align on priorities, needs, and technical requirements
• Provide a blueprint of technical architectural solutions for AI implementations
• Collaborate with the learning architect and project managers to integrate the GenAI strategy, tools, and processes into the Learning Strategy Framework and Project Master Plan
• Define AI application architecture, including and not limited to, foundation model selection, prompting frameworks, statistical parameters, RAG systems, and implementation strategies

Technical Architecture and Implementation:

• Support the design and implementation of robust AI application architectures
• Architect scalable AI solutions that integrate with existing educational technology infrastructure
• Ensure AI systems are optimized for performance, security, privacy, and regulatory compliance
• Oversee the technical implementation of AI-augmented design solutions and student-facing technologies

Cross-Functional Collaboration:

• Collaborate with GenAI team throughout the software development lifecycle
• Work closely with the Learning teams on systems prompting, where instructional strategies like mastery learning and Socratic tutoring define application behaviour
• Collaborate on knowledge bases and RAG systems, integrating vector databases for efficient information retrieval
• Collaborate with the Learning teams to ensure alignment between AI output and instructional principles through the implementation of effective training techniques
• Facilitate training sessions with learning technologists and cross-functional teams to improve AI literacy and project outcomes

Project Management and Governance:

• Collaborate with the Head of Delivery to define GenAI objectives, and create and manage the roadmap for AI implementation projects
• Establish workflows for projects, ensuring proper resource allocation
• Implement compliance, governance, and ethics frameworks, particularly aligning with United Nations human rights principles
• Maintain key documentation (e.g. system architecture, deployment guides & runbooks, configuration management, pre-sales materials, governance policies & procedures, risk registers), for new and ongoing AI projects
• Ensure human-centered design practices and human oversight in AI-augmented design

Data Visualization and Data-Driven Decision-Making:

• Develop structured datasets that capture human-AI collaboration metrics
• Develop and maintain interactive data visualization dashboards that enable real-time monitoring.
• Utilize data-driven insights to refine human-augmented design processes, optimize AI-human task allocation, and improve collaborative workflows
• Present efficiency data and ROI findings to executive stakeholders through clear and compelling documentation that demonstrates the business value of human-augmented approaches

What does success look like?

• Successful delivery of AI solutions within project timelines and budget constraints
• AI implementation efficiency gains (target: 30% reduction in manual processes)
• Client satisfaction and successful project implementations
• Revenue generation from AI-driven solutions and successful POC conversions
• Effective collaboration with cross-functional teams and stakeholders
• Compliance with security and governance standards (100% compliance target)
• Innovation impact through scalable AI architecture designs

Requirements
Qualifications and Technical Expertise:

• Bachelor's degree in Software Engineering, Education, AI/ML, Business or related fields
• Experience in AI/ML solution architecture and implementation
• Advanced understanding of Large Language Models (OpenAI, Anthropic Claude, Gemini)
• Proficiency with GenAI frameworks (Langchain, ChromaDB) and AI/ML platforms (Hugging Face)
• Experience with cloud services (Azure, AWS) and deployment platforms
• Knowledge of API programming, particularly Python and JavaScript
• Understanding of vector databases and RAG system implementation

Business and Strategic Skills:

• Proven experience in pre-sales technical consulting and client-facing roles
• Strong project management capabilities with experience in agile methodologies
• Ability to conduct feasibility studies and cost-benefit analyses
• Experience with stakeholder management and cross-functional collaboration
• Knowledge of compliance and governance frameworks in educational technology

Educational Technology Knowledge:

• Understanding of instructional design principles and learning theories
• Experience with Learning Management Systems (LMS) and educational technology platforms
• Knowledge of data privacy regulations (FERPA, GDPR) in educational contexts
• Familiarity with pedagogical considerations and instructional design workflows

Desirable Qualifications and Experience:

• Relevant certification from AWS and Azure
• Background in change management and technology adoption strategies
• Knowledge of educational compliance standards and data governance
• Experience with containerization (Docker) and CI/CD pipelines
• Understanding of human-centered design principles

Benefits
About OES
OES is a vibrant and values-led organisation, and we are passionate about enhancing lives through education. We work with university partners, training institutes, and professional bodies worldwide, to develop and enable immersive and engaging learning experiences. We empower our teams to be student-focused, innovative, and embrace change with a growth mindset to ensure we achieve our vision of being the world's most impactful enabler of education. We encourage our people to grow and develop through teamwork and a diverse range of projects, programs and challenging work. We trust our people to deliver, so when you work with OES, you will join a team who are empowered to impact every day.

Company Culture & Values
We are a people-focused organization with a culture built around collaboration, connection, and working together toward one common goal. Our vibrant, values-led culture is grounded in four core principles that guide everything we do:

Passion and Perseverance:
We love what we do (even though it's not always easy) and take pride in creating transformative learning experiences. We bring a 'can-do' attitude to our work, tackling challenges and inspiring others.

Teamwork:
We operate as cross-functional teams globally with trust and respect, celebrating success. We have fun while we work and enjoy collaborating with each other and OES partners.

Agility and Innovation:
We are innovative, lateral thinkers who use our skills to do things better for our students. We thrive in ambiguity, embrace change and challenge conventional thinking.

Integrity
: We do what's right, and what we say we will do, every time. We value a culture of respectful feedback and believe that respect trumps harmony.

These are some of the perks you can expect when you join the team:

• Employee Assistance Program (EAP)
• Medical allowance
• Commute allowance
• Flexible work for genuine career-life fit
• A healthy and supportive company culture
• Generous annual leave
• Paid maternity and paternity benefits
• Study leave
• Professional development and mentoring
• Construct Culture Club events
• Company funded lunch and drinks every 6 weeks
• Policy T&Cs apply for certain benefits

Are you the AI whisperer we've been waiting for? Can you decode complex problems, build next-gen machine intelligence, and architect solutions that change lives?

We are boldly stepping into the Fourth Industrial Revolution, and we want YOU to help us lead the way.

Currently in search for an AI Solutions Architect to Join our team!

Requirements:

• 8 years’ relevant work experience
• An appropriate, recognised qualification at NQF Level 7, with preference for a qualification in Information Technology, Computer Science, Computer Systems or equivalent.
• Solutions Architecture certification, Scaled Agile Framework, Azure, Google, Oracle or AWS cloud architecture certification
• A relevant NQF level 8 qualification will be an advantage
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) will be an advantage
• Understanding data architecture, APIs, and microservices will be an advantage.
• Knowledge of DevOps/MLOps practices for AI model deployment will be an advantage
• AI and machine learning
• Architecture design

Responsibilities:

• Design and Implement AI driven Architectures
• Develop AI road maps aligned with organisational strategy
• Assess and recommend AI technologies, tools and platforms
• Build and deploy AI/ML models ensuring scalability and performance
• Integrate AI solutions with new, existing enterprise applications and data pipelines
• Work with data specialists and developers to optimize data processing and model training workflows

Reference number for this position is GZ60800 which is a fixed-term contract position based in Pretoria offering a cost to company salary of R1.2m per annum negotiable on experience and ability. Contact Garth on or call him on to discuss this and other opportunities.

Are you ready for a change of scenery? The E-Merge IT recruitment is a specialist niche recruitment agency. We offer our candidates options so that we can successfully place the right developers with the right companies in the right roles. Check out the e-Merge website for more great positions.

Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!

AI/ML ENIGINEER SENIOR CONSULTANT

Cape Town Metropolitan, South Africa

About Datalab

At Datalab, our purpose is to empower businesses to unlock measurable value through data-driven insights and intelligent analytics. We expertly design and implement end-to-end modern data solutions, with Snowflake at the core, complemented by carefully selected data technologies to ensure efficient, cost-effective, and future-ready data ecosystems. By combining innovation and deep expertise, we enable real-time, actionable insights that help organizations become smarter, more agile, and more resilient in an ever-changing digital landscape.

For more information and a host of resources please visit:

Why join Datalab

• Flexible Work Arrangements
  : Enjoy hybrid work environment to suit your lifestyle.
• Broad Technology Exposure
  : We offer experience across various data, analytics, and cloud technologies—so you'll always be learning something new about the modern data stack.
• Career Growth & Development
  : We invest in our people through training, certifications, and mentorship, ensuring continual professional and personal advancement.
• Opportunities to contribute to transformative, high-impact data initiatives, grow your skills and be exposed to market leadership.
• Collaborate with a dynamic, innovative team with a start-up mindset that values autonomy, results, and professional growth.
• Become a leading voice in data-driven decision-making, shaping how top-tier enterprises operate and innovate.

About the Role

As an AI/ML Engineer Consultant, you will design, build, and productionize machine-learning and generative-AI solutions on modern data platforms. You'll run end-to-end engagements—from discovery and solution architecture through MLOps, deployment, and enablement—turning complex business problems into measurable outcomes. Expect hands-on work with Snowflake (Snowpark, Cortex, vector embeddings), Python, and cloud services plus downstream analytics in Power BI/ThoughtSpot/Sigma.

Key Responsibilities

Solution Discovery & Architecture

·   
Run technical discovery, translate business goals into AI/ML solution designs, and define success metrics/KPIs.

·   
Architect data and model pipelines on Snowflake-centric platforms (Snowpark, Streams/Tasks; Cortex Search for semantic/retrieval use cases).

Modeling & GenAI Engineering

·   
Build, evaluate, and iterate on classical ML and LLM-powered solutions (classification, forecasting, recommendations, NLP; RAG for domain grounding).

·   
Implement embeddings and vector search; design prompts, guards, and evaluation strategies for reliability and safety.

MLOps & Delivery

·   
Productionize models with CI/CD, experiment tracking, model registry, and serving (e.g., MLflow), containerization, and scalable inference.

·   
Establish monitoring (drift/latency/quality), alerting, and rollback strategies; document and hand over runbooks.

Client Advisory & Enablement

·   
Act as a trusted advisor: present options/trade-offs, guide adoption (governance, security, cost), and lead stakeholder workshops.

·   
Coach client teams in best practices for MLOps, GenAI safety, and analytics enablement.

Team Leadership

·   
Lead small delivery squads; mentor engineers; contribute to internal accelerators, templates, and reference architectures.

Qualifications & Experience

Must-haves

·   
Masters Degree in Data Science, Engineering, Computer Science or Statistics.

·   
3-4 years delivering production ML/AI solutions.

·   
Strong Python and SQL; solid understanding of statistics/ML fundamentals and evaluation.

·   
MLOps proficiency with at least 1-2 years hands-on experience.

·   
Practical GenAI experience (LLM integration, RAG, prompt design, grounding/eval).

Nice-to-haves

·   
1-2 years client facing/consulting experience.

·   
Hands-on with experience with Snowflake (Snowpark; familiarity with Cortex and vector embeddings a plus).

·   
Hands-on experience with BI tools (Power BI/ThoughtSpot/Sigma)

What Success Looks Like (first 6–12 months)

·   
Deliver 2–3 client projects end-to-end with measurable impact (e.g., accuracy uplift, cost reduction, time-to-insight).

·   
Stand up a reusable MLOps baseline adopted by at least one client team.

·   
Contribute patterns for Snowflake-native AI (e.g., Cortex Search starter, embedding/RAG accelerator).