88 AI Solutions jobs in South Africa
AI Solutions Lead
Posted 13 days ago
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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
- Walk the floor, engage teams, and map workflows to determine where AI can unlock productivity, business insights, or automation and competitive advantages.
- Develop a wide and deep understanding of industry and business trends, identify and translate opportunities and challenges into structured problem and solutions statements.
- Use your understanding of physical processes, constraints, and technology to assess viability
2. Build the Business Case
- Prioritize opportunities based on business impact, effort, and speed to value.
- Develop clear, ROI-driven business cases that align with operational goals.
- Present and communicate these opportunities to senior leadership and stakeholders.
3. Engage the Right Expertise
- Scout, evaluate, and collaborate with third-party AI vendors, domain experts, and technology providers.
- Serve as the internal project lead — translating business needs to external providers and ensuring delivery stays aligned with outcomes.
- You don’t build the tech — you guide the vision, manage the outcomes, and ensure it solves the right problem.
- Coordinate implementation efforts across business units and external partners.
- Define success metrics, monitor progress, and remove roadblocks to execution.
- Develop and lead training efforts to build awareness and capability around the new tools or workflows.
5. Promote Innovation Across the Organization
- Champion a practical understanding of AI — what it is, what it isn’t, and where it can help.
- Host workshops, lead internal demonstrations, and empower teams to think differently.
- 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
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering, Strategy/Planning, and Business Development
- Industries Truck Transportation, Engineering Services, and Motor Vehicle Manufacturing
Referrals increase your chances of interviewing at Triz Engineering Solutions by 2x
Get notified about new Solutions Specialist jobs in Centurion, Gauteng, South Africa .
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#J-18808-LjbffrAI Solutions Lead
Posted 22 days ago
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Job Description
Durbanville, Cape Town
Minimum requirements and experience required:
- BEng/Master's in Business, Engineering or related fields.
- Minimum 5 years of working experience in operations, product development, etc.
- Proven ability to lead cross-functional initiatives and manage external technology partners
- Working with technology vendors, solution providers or consultants.
- Exposure to Lean, Six Sigma, Design Thinking or Agile.
- Identifying high-impact opportunities for AI across the organisation and driving real-world implementation through collaboration with third-party experts and internal coordination.
- Provide structured problem-solving and hands-on solutions.
AI Solutions Lead
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AI & Data Solutions Architect
Posted 13 days ago
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Job Description
Role: AI & Data Solutions Architect
Experience: 8-10 Years
Must-have skills:
- Strong understanding of AI/ML concepts
- Proficiency in Python (or other relevant languages)
- Experience with prompt engineering and knowledge of LLMs and their applications
- Familiarity with MLOps principles
- Understanding of Nvidia GPU H200 types to design, operate, and manage
- Basic subject matter expertise in telecom and prior work experience in the area
- Deep understanding of Azure/AWS or GCP cloud platforms
- Expertise in relevant cloud services and tools
- Knowledge of cloud (AWS/Azure/GCP) data storage and processing services
Good to have skills:
- Ruby on Rails
- Python
- Kubernetes, Docker
- Java
- Nvidia H200 GPU handling
- Azure DevOps
- Azure Cosmos DB
- Docker & Kubernetes containerization
Key responsibilities:
- Design and implement Gen AI solutions
- Develop and optimize prompts
- Build and deploy AI models
- Ensure ethical considerations and responsible AI practices. Stay updated on the latest Gen AI advancements
- Integrate with various LLM services and other cloud AI and non-AI services
- Utilize machine learning tools for designing, building, and deploying models, such as Azure Machine Learning or similar tools
Ai & data solutions architect
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Ai & data solutions architect
Posted today
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Sales director (b2b) financial services ai & machine learning solutions
Posted today
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Sanlam Data, AI and Engineering Academy 2026
Posted 13 days ago
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Sanlam Data, AI and Engineering Academy 2026Date: 4 Aug 2025
Location:
Bellville, Western Cape, ZA
Sanlam Group Tech is responsible for the provision of tech, engineering and security services. Driving business transformation and engineering groupwide digital, cloud, AI, security and data platforms that assist our business and clients to succeed. We also operate various technology platforms and shared services, ensure Cyber and Information Security resilience, and act as technology governance and risk orchestrator for technology across Sanlam.
Data, AI and Engineering Academy GraduateAn exciting opportunity to join a 13-month accelerated development program is available for soon-to-be or recent graduates to join the Sanlam Data, AI and Engineering Academy. Previously known as the Sanlam Data and Digital Academy.
We are seeking bright minds who are eager to build and develop technical, analytical, and business skills while working on real business problems within the Sanlam Analytics and Group Technology ecosystems.
Being selected for Data, AI and Engineering Academy Graduate position will entail- Permanent employment from the onset.
- Market-related benefits and rewards.
- Participation in a structured 13 month accelerated development program.
- Hands-on experience in the largest and most diverse non-banking Financial Services organisation in Africa, now expanding into a banking and lending partnership with TymeBank.
- Exposure to leading-edge technologies and the opportunity to apply your skills in the process of designing and launching new capabilities or experimenting to deliver MVPs; innovative client centric products.
- Collaboration with experienced Sanlam employees participating in the programme.
- Opportunity to build a career at Sanlam, and gain access to opportunities across a diverse set of capabilities, propositions, and geographies.
Sanlam is one of the largest internationally active insurance organisations in the world and has the biggest non-banking financial services footprint on the African continent. The Group has an active presence in 33 countries, operating across the African continent, India, Malaysia, and selected developed markets. It is listed on the Johannesburg, A2X, and Namibian stock exchange.
Further to this, Sanlam has:
- Formed an InsurTech partnership with Africa’s largest telco, MTN
- Formed an African operations partnership with one of the world’s largest insurers, Allianz
- Established a dedicated FinTech cluster, applying cutting-edge engineering to build and launch digital and ecosystem-driven products, now partnering with TymeBank on multiple new propositions.
The application of technology and data is at the heart of our success. We strive to transform into a tech company with a strategy and associated investments geared towards the optimal use of technology to achieve objectives and market advantage. To this end, we are in the midst of a full cloud migration to AWS and the scaling of cloud-first data (Snowflake, dbt) and AI platforms (Bedrock, SageMaker) and have sourced talent from AWS, Google and Spotify to aid our journey.
The Sanlam Data, AI and Engineering Academy forms part of Sanlam Group Technology. It is designed to build data analytical and technical skills which are critical in a fast-growing technological and data-driven environment, and critical to Sanlam’s success. We seek to build careers for people who can help to meet Sanlam’ stakeholder promises and drive further growth.
The Sanlam Data, AI and Engineering Academy is offering two exciting development opportunities over a 13-month period, aimed at launching your career in either the Data or Software Engineering.
Data and AI:
- You are passionate about all things related to data: finding patterns in data, using data to build insight, aid decision-making and process action, and to create real value.
- You want to establish strong foundations in data management and data engineering, in a fast-moving and complex enterprise data domain.
- You’re interested in tackling complex data problems, and learning how to apply AI, ML, predictive analytics and generative AI to datasets to deliver unique insights, prompts and direction.
- You aspire to develop your analytical skills to grow your career in roles such as Data Analyst, Data Scientist, Data Engineer, or AI/ML engineer.
Software Engineering & AI:
- You have a passion for engineering and solving complex problems.
- You aspire to grow in the domains of engineering and modern engineering with an interest in cloud-native architecture, Infrastructure as Code and application integration
- You want to solve problems by applying the latest innovations in the digital world, modern engineeringpractices, as well as modern integration patterns, and AI techniques.
- You seek a career as a Software Engineer, DevOps Engineer, Test Engineer, Integration Specialist or Architect.
During the 13-month program you will receive
- Ongoing technical training, real-world enterprise-level experience, business acumen and competency-based training in a professional environment.
- Guidance through coaching and mentorship from subject matter experts in the Sanlam Technology and Sanlam Analytics Teams to ensure that you are well-equipped to grow and become successful in your chosen career.
- The opportunity to work cross-functionally in order to learn across various disciplines and be equipped with a diverse skillset, gaining access to multiple parts of the data and tech capabilities, and working with multiple parts of the business.
- Rotate to different IT and business teams to get exposure to a variety of tech and data disciplines, enabling you to find the best fit for your skills and interests.
- The opportunity to participate in innovation competitions and tech learning days, such as the SGT data day, and hackathons.
- Functional training with world class facilitators and hands-on experience with the leading IT & BI tools and technology that will enable you to play a key role in Sanlam’s strategy to modernise the IT agenda and drive the data driven decision making capability.
The graduate programme is suited to independent and self-motivated individuals with strong analytical skills. Some of the key traits that will make you successful are, but not limited to:
- An innovative mindset and problem-solving ability
- A passion for data and technology
- The ability to juggle deadlines and tasks from various stakeholders
- A high value of client centricity and collaboration
- Be open to receive feedback for continuous personal growth
We will only consider students who already hold a degree or will obtain a degree by the end of 2025. Previous work experience is not a prerequisite, but you should not have more than 12 months' related post-university professional working experience. Working experience obtained as part of a work-integrated learning programme won't be considered as professional working experience.
- BCom, BSc, BTech:
- Data Science / Data Analytics / Business Intelligence
- Statistics / Mathematics / Finance / Actuarial
- Industrial / Electrical / Chemical / Civil / Mechanical Engineering, BEng
Knowledge & Skills
We do not expect you to come with a wealth of knowledge as our curriculum will cover everything you need to know. However, it does help if you have a basic understanding of the following:
- Programming languages and frameworks such as Python, Java, .Net, and SQL
- Data analysis, modelling and visualisation
- Business and process analysis
Database Knowledge
IT Data Analysis
Data Security
Reporting and Administration
Personal AttributesInterpersonal savvy - Contributing independently
Decision quality - Contributing independently
Plans and aligns - Contributing independently
Optimises work processes - Contributing independently
Build a successful career with usWe’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth.Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.
Core CompetenciesCultivates innovation - Contributing independently
Customer focus - Contributing independently
Drives results - Contributing independently
Collaborates - Contributing independently
Being resilient - Contributing independently
Turnaround timeThe job posting will close on 24 August 2025 and the selection process will commence following the closing date and shortlisted candidates will be notified via email. Remember to upload an updated CV and your full academic transcripts as we are unable to process your application without this information. Your application will be automatically disqualified should these requirements not be attached to your application.
The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.
Sanlam Data, AI and Engineering Academy 2026
Posted today
Job Viewed
Job Description
Press Tab to Move to Skip to Content Link
Select how often (in days) to receive an alert: Create Alert
Sanlam Data, AI and Engineering Academy 2026Date: 4 Aug 2025
Location:
Bellville, Western Cape, ZA
Sanlam Group Tech is responsible for the provision of tech, engineering and security services. Driving business transformation and engineering groupwide digital, cloud, AI, security and data platforms that assist our business and clients to succeed. We also operate various technology platforms and shared services, ensure Cyber and Information Security resilience, and act as technology governance and risk orchestrator for technology across Sanlam.
Data, AI and Engineering Academy GraduateAn exciting opportunity to join a 13-month accelerated development program is available for soon-to-be or recent graduates to join the Sanlam Data, AI and Engineering Academy. Previously known as the Sanlam Data and Digital Academy.
We are seeking bright minds who are eager to build and develop technical, analytical, and business skills while working on real business problems within the Sanlam Analytics and Group Technology ecosystems.
Being selected for Data, AI and Engineering Academy Graduate position will entail- Permanent employment from the onset.
- Market-related benefits and rewards.
- Participation in a structured 13 month accelerated development program.
- Hands-on experience in the largest and most diverse non-banking Financial Services organisation in Africa, now expanding into a banking and lending partnership with TymeBank.
- Exposure to leading-edge technologies and the opportunity to apply your skills in the process of designing and launching new capabilities or experimenting to deliver MVPs; innovative client centric products.
- Collaboration with experienced Sanlam employees participating in the programme.
- Opportunity to build a career at Sanlam, and gain access to opportunities across a diverse set of capabilities, propositions, and geographies.
Sanlam is one of the largest internationally active insurance organisations in the world and has the biggest non-banking financial services footprint on the African continent. The Group has an active presence in 33 countries, operating across the African continent, India, Malaysia, and selected developed markets. It is listed on the Johannesburg, A2X, and Namibian stock exchange.
Further to this, Sanlam has:
- Formed an InsurTech partnership with Africa’s largest telco, MTN
- Formed an African operations partnership with one of the world’s largest insurers, Allianz
- Established a dedicated FinTech cluster, applying cutting-edge engineering to build and launch digital and ecosystem-driven products, now partnering with TymeBank on multiple new propositions.
The application of technology and data is at the heart of our success. We strive to transform into a tech company with a strategy and associated investments geared towards the optimal use of technology to achieve objectives and market advantage. To this end, we are in the midst of a full cloud migration to AWS and the scaling of cloud-first data (Snowflake, dbt) and AI platforms (Bedrock, SageMaker) and have sourced talent from AWS, Google and Spotify to aid our journey.
The Sanlam Data, AI and Engineering Academy forms part of Sanlam Group Technology. It is designed to build data analytical and technical skills which are critical in a fast-growing technological and data-driven environment, and critical to Sanlam’s success. We seek to build careers for people who can help to meet Sanlam’ stakeholder promises and drive further growth.
The Sanlam Data, AI and Engineering Academy is offering two exciting development opportunities over a 13-month period, aimed at launching your career in either the Data or Software Engineering.
Data and AI:
- You are passionate about all things related to data: finding patterns in data, using data to build insight, aid decision-making and process action, and to create real value.
- You want to establish strong foundations in data management and data engineering, in a fast-moving and complex enterprise data domain.
- You’re interested in tackling complex data problems, and learning how to apply AI, ML, predictive analytics and generative AI to datasets to deliver unique insights, prompts and direction.
- You aspire to develop your analytical skills to grow your career in roles such as Data Analyst, Data Scientist, Data Engineer, or AI/ML engineer.
Software Engineering & AI:
- You have a passion for engineering and solving complex problems.
- You aspire to grow in the domains of engineering and modern engineering with an interest in cloud-native architecture, Infrastructure as Code and application integration
- You want to solve problems by applying the latest innovations in the digital world, modern engineeringpractices, as well as modern integration patterns, and AI techniques.
- You seek a career as a Software Engineer, DevOps Engineer, Test Engineer, Integration Specialist or Architect.
During the 13-month program you will receive
- Ongoing technical training, real-world enterprise-level experience, business acumen and competency-based training in a professional environment.
- Guidance through coaching and mentorship from subject matter experts in the Sanlam Technology and Sanlam Analytics Teams to ensure that you are well-equipped to grow and become successful in your chosen career.
- The opportunity to work cross-functionally in order to learn across various disciplines and be equipped with a diverse skillset, gaining access to multiple parts of the data and tech capabilities, and working with multiple parts of the business.
- Rotate to different IT and business teams to get exposure to a variety of tech and data disciplines, enabling you to find the best fit for your skills and interests.
- The opportunity to participate in innovation competitions and tech learning days, such as the SGT data day, and hackathons.
- Functional training with world class facilitators and hands-on experience with the leading IT & BI tools and technology that will enable you to play a key role in Sanlam’s strategy to modernise the IT agenda and drive the data driven decision making capability.
The graduate programme is suited to independent and self-motivated individuals with strong analytical skills. Some of the key traits that will make you successful are, but not limited to:
- An innovative mindset and problem-solving ability
- A passion for data and technology
- The ability to juggle deadlines and tasks from various stakeholders
- A high value of client centricity and collaboration
- Be open to receive feedback for continuous personal growth
We will only consider students who already hold a degree or will obtain a degree by the end of 2025. Previous work experience is not a prerequisite, but you should not have more than 12 months' related post-university professional working experience. Working experience obtained as part of a work-integrated learning programme won't be considered as professional working experience.
- BCom, BSc, BTech:
- Data Science / Data Analytics / Business Intelligence
- Statistics / Mathematics / Finance / Actuarial
- Industrial / Electrical / Chemical / Civil / Mechanical Engineering, BEng
Knowledge & Skills
We do not expect you to come with a wealth of knowledge as our curriculum will cover everything you need to know. However, it does help if you have a basic understanding of the following:
- Programming languages and frameworks such as Python, Java, .Net, and SQL
- Data analysis, modelling and visualisation
- Business and process analysis
Database Knowledge
IT Data Analysis
Data Security
Reporting and Administration
Personal AttributesInterpersonal savvy - Contributing independently
Decision quality - Contributing independently
Plans and aligns - Contributing independently
Optimises work processes - Contributing independently
Build a successful career with usWe’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth.Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.
Core CompetenciesCultivates innovation - Contributing independently
Customer focus - Contributing independently
Drives results - Contributing independently
Collaborates - Contributing independently
Being resilient - Contributing independently
Turnaround timeThe job posting will close on 24 August 2025 and the selection process will commence following the closing date and shortlisted candidates will be notified via email. Remember to upload an updated CV and your full academic transcripts as we are unable to process your application without this information. Your application will be automatically disqualified should these requirements not be attached to your application.
The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.
Sanlam data, ai and engineering academy 2026
Posted today
Job Viewed