52 AI Lab jobs in South Africa
Head of AI Innovation and Development
Posted today
Job Viewed
Job Description
Please read the full job ad and consider the remuneration that is being offered for this role before applying.
Job Title: Head of AI Innovation and Development
Location: South Africa – Remote
Reports to: Managing Director
Type: Full Time Contract Role
Package: OTE R1,220,000 pa
Role Summary - Head of AI Innovation and Development (Marketing Focused)
We are seeking a forward thinking, commercially astute
Head of AI Innovation and Development
to lead the integration of AI capabilities across our marketing services business. This role will be pivotal in shaping and delivering our AI vision, driving innovation in client campaigns, internal operations and service offerings. You will combine strategic insight, deep AI knowledge and hands on execution to future proof the business and deliver measurable impact for our clients.
Key Responsibilities
Strategic Leadership
- Define and own the business's AI innovation strategy, aligning it with commercial growth, client success and operational efficiency.
- Identify emerging AI trends, technologies and tools relevant to marketing and translate them into actionable roadmaps.
- Act as a thought leader internally and externally, helping position the business as a pioneer in AI led marketing innovation.
AI Driven Marketing Strategy
- Develop and deploy AI enhanced strategies across performance marketing, content creation, SEO, CRM and customer journey personalisation.
- Collaborate with strategy, creative, media and data teams to integrate AI into client solutions, from predictive analytics and conversational AI to generative content and intelligent automation.
- Support the development of new data products and AI powered services for clients.
AI Solution Development
- Lead the end to end design and delivery of AI powered tools, models and applications tailored to client and business needs.
- Translate marketing use cases into technical requirements and collaborate with internal and external developers, data scientists and product managers to bring solutions to life.
- Oversee the development and integration of solutions such as:
- Intelligent content generators and optimisation engines
- Predictive lead scoring and customer segmentation models
- AI powered dashboards, recommendation engines and campaign automation tools
- Conversational AI platforms, including chatbots and virtual assistants
- Ensure AI solutions are scalable, robust and aligned with ethical, legal and commercial standards.
- Maintain an active development pipeline and roadmap of AI prototypes, pilots and launches.
Innovation and Transformation
- Champion internal transformation through AI to enhance campaign optimisation, client reporting and operational efficiency.
- Build business cases for AI investments, tools, partnerships and platforms.
- Foster a test and learn culture to rapidly prototype and scale new ideas.
Client Engagement and Commercial Impact
- Partner with senior account leads and client stakeholders to co create AI strategies and deliver value driven innovation.
- Support pitches, proposals and presentations by showcasing the role of AI in solving business and marketing challenges.
- Track ROI and performance impact of AI initiatives for clients and the business.
Governance and Risk Management
- Ensure all AI use aligns with ethical standards, data protection regulations and IP considerations.
- Set internal guidelines for responsible AI usage, including transparency, human oversight and model bias mitigation.
- Oversee governance frameworks for AI experimentation, vendor management and third party APIs.
Team Leadership and Capability Building
- Lead and mentor a cross functional team of data scientists, AI specialists, strategists and technologists.
- Drive internal training and AI literacy programmes across departments to raise understanding and adoption.
- Cultivate a culture of experimentation, learning and agile innovation.
Required Skills and Experience
Essential
- Proven experience in a strategic leadership role related to AI, innovation or digital transformation within a marketing services business, consultancy or technology led organisation.
- Strong understanding of AI technologies including generative AI, machine learning, NLP, LLMs and automation platforms in a marketing context.
- Hands on experience in delivering AI solutions from ideation through development to deployment and evaluation.
- Ability to connect business problems with data and AI capabilities to design commercially viable products or tools.
- Excellent communication, stakeholder engagement and client presentation skills.
- Comfortable leading multidisciplinary teams and managing change across creative and technical environments.
- Familiarity with martech stacks, including CRM, CDP, CMS, DAM, marketing automation and analytics platforms.
- Experience working with platforms such as OpenAI, Google Cloud AI, AWS ML or Azure AI.
- Knowledge of data governance, AI regulation and responsible AI frameworks such as GDPR or the EU AI Act.
- A network of AI vendors, startups and ecosystem partners.
Why Join Us?
This is a high impact, high visibility role in an ambitious marketing services business that values innovation, creativity and strategic thinking. You will help redefine what marketing looks like in the age of AI, working with leading brands and brilliant teams, and shaping the future of the business itself.
Package
We offer a highly competitive package that reflects the seniority and strategic importance of this role. This includes:
- Base salary in line with market benchmarks – R70,000 - R80,000 per month, based upon experience (Up to R960,000 pa)
- Performance based bonus linked to business and innovation outcomes – R200,000 per annum performance bonus
- Flexible working arrangements including hybrid or remote working
- Generous holiday allowance and additional leave options – 15 Days Paid Holiday + 8 UK Bank Holidays, 23 Days in total
- Continuous learning and professional development budget
- Access to cutting edge AI tools, platforms and innovation labs
How to Apply
If you are interested in applying for this role then can you please complete the following online questionnaire -
Thereafter, any suitable candidates will be invited to interview for role.
If you don't hear from us within two weeks of completing our online questionnaire then unfortunately you haven't been successful in this instance, and we wish you the very best in your future job search.
Please note: Initially, this is a part-time contract position that could evolve into a full-time contract role for the right candidate.
Join us at Equals Five and be part of a team that values innovation, creativity, and excellence
Equal Five is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Please, no agencies.
Principal AI Technology & Innovation Specialist
Posted 22 days ago
Job Viewed
Job Description
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Principal AI Technology & Innovation Specialist is a highly skilled subject matter expert with deep expertise in emerging AI technologies, advanced analytics, and AI system architecture. This role is accountable for the strategic assessment, experimentation, and enablement of cutting-edge AI solutions within the organization, driving innovation and ensuring AI readiness across internal platforms and client-facing services.
The primary objective of this role is to stay at the forefront of AI innovation by evaluating, piloting, and recommending next-generation AI technologies and vendor capabilities. The specialist serves as a strategic advisor and hands-on innovator, influencing architecture, engineering, and product teams to integrate AI capabilities in scalable and responsible ways. This includes defining technical blueprints, building AI proof-of-concepts, and supporting adoption through alignment with IT and enterprise architecture.
**Key Responsibilities**
+ Lead the evaluation and strategic assessment of emerging AI technologies, platforms, and vendor solutions, advising on technical and ethical feasibility.
+ Design and guide the development of AI capabilities and innovation pilots, translating business goals into AI-enabled solutions.
+ Define architectural blueprints for integrating AI technologies into IT systems and product platforms, ensuring security, scalability, and alignment with enterprise standards.
+ Develop frameworks for responsible AI adoption including model evaluation, explainability, privacy, compliance (e.g., EU AI Act), and ethical use.
+ Partner with product and platform teams to align AI innovations with enterprise technology strategy and business outcomes.
+ Drive initiatives for AI prototyping, proof-of-concepts (PoCs), and production readiness assessments.
+ Monitor vendor roadmaps and contribute to the strategy for selecting and onboarding external AI capabilities.
+ Act as a center of excellence for AI within the IT organization, driving awareness, knowledge sharing, and standardization.
+ Collaborate with enterprise architects and platform leads to integrate AI tools into data infrastructure, software architecture, and cloud environments.
+ Perform technical due diligence on third-party AI services and models, ensuring fit-for-purpose and cost-effective solutions.
+ Continuously improve internal innovation processes and methodologies to increase the speed and quality of AI-driven transformation.
**Knowledge and Attributes**
+ Deep knowledge of modern AI paradigms including generative AI (e.g., LLMs), machine learning infrastructure, AI model lifecycle, and MLOps.
+ Strong understanding of AI model risks and evaluation techniques, with experience applying responsible AI principles in enterprise environments.
+ Excellent ability to assess multi-vendor and open-source AI offerings for enterprise adoption.
+ Advanced knowledge of reference AI architectures, integration models, and cloud-based AI toolchains.
+ Ability to translate business needs into technical AI strategies, architectures, and implementation roadmaps.
+ Excellent communication and stakeholder management skills across technical, executive, and vendor audiences.
+ Strategic thinker with the ability to rapidly assess the value and risks of new AI technologies and innovation trends.
**Academic Qualifications and Certifications**
+ Bachelor's degree or equivalent in Computer Science, Artificial Intelligence, Data Science, or a related field.
+ Advanced degrees (MSc/PhD) in AI/ML fields preferred.
+ TOGAF, COBIT, or related enterprise architecture certifications are beneficial.
+ Certifications in machine learning or cloud-based AI platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.
**Required Experience**
+ Extensive experience in leading enterprise AI innovation and architecture initiatives.
+ Proven track record of evaluating, piloting, and operationalizing AI solutions in enterprise environments.
+ Experience working across multiple industries and large-scale IT organizations.
+ Hands-on experience in AI/ML development, integration, and lifecycle management.
+ Familiarity with regulations governing AI use, such as the EU AI Act, and experience in operationalizing compliance measures.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
AI Technology and Innovation Engineer
Posted today
Job Viewed
Job Description
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it's a place where you can grow, belong and thrive.
Your day at NTT DATA
The AI Innovation Engineer is responsible for defining and delivering AI technology solutions that meet enterprise capability requirements. This role focuses on evaluating, designing, and implementing AI solutions from established vendors, ensuring integration with existing enterprise architecture while providing expert guidance on AI technology adoption and innovation strategies.
Key Responsibilities- Defines AI solutions and technology implementations to deliver specific capability maturity levels for enterprise AI adoption.
- Ensures that AI solutions are agile, scalable, and can be integrated into the overall enterprise architecture and technology landscape.
- Provides expert multi-vendor AI technology advice to internal clients, analyzing and providing strategies and solutions on AI platforms, tools, and integration components.
- Designs and communicates high-level AI solution architectures to enable and guide the implementation of integrated AI capabilities that meet current and future business needs.
- Uses client business requirements to advise on the design, deployment, and operation of AI technology infrastructures and vendor solutions.
- Creates AI solution designs that provide holistic views while containing detailed specifications of AI components and interconnections between systems.
- Involved with AI projects at inception, working alongside project managers in planning and governance of AI initiatives and functional analysis of developing initial AI requirements.
- Works with enterprise architects to define how proposed AI solution components fit into enterprise data architecture, defining clear AI technology roadmaps that improve existing solutions through new AI technologies and methodologies.
- Supports and manages proof of concept (POC) and prototype initiatives to validate new AI solutions, vendor tools, and implementation methods.
- Contributes to improvement of internal effectiveness by enhancing current AI evaluation methodologies, testing processes, and vendor assessment tools.
- Supports internal teams and vendors with installation and configuration of AI applications and platforms.
- Conducts comprehensive vendor AI technology assessments, benchmarking, and capability evaluations.
- Develops and maintains AI testing frameworks and automated evaluation pipelines for continuous vendor solution assessment.
- Establishes AI governance frameworks and best practices for enterprise AI adoption and risk management.
- Performs any other related tasks as required.
- Seasoned ability to construct AI solutions using expertise across multiple vendor AI platform offerings and enterprise integration patterns.
- Seasoned knowledge of multi-vendor AI technologies, platforms, and infrastructure design best practices across cloud, hybrid, and on-premises environments.
- Seasoned multi-layered knowledge of AI solution architectures, vendor ecosystems, and enterprise AI reference architectures.
- Seasoned knowledge of project management principles and agile methodologies for AI implementation projects.
- Seasoned knowledge of AI vendor roadmaps, emerging AI developments, and new AI product offerings from major technology providers.
- Deep understanding of AI testing methodologies, performance benchmarking, and capability assessment frameworks.
- Expert knowledge of enterprise AI integration patterns, API management, and AI solution deployment strategies.
- Comprehensive understanding of AI governance, ethics, compliance requirements, and responsible AI practices.
- Analytical in their approach to AI technology evaluation and solution design.
- Excellent interpersonal and communication skills to effectively interact with a variety of stakeholders including vendors, business leaders, and technical teams.
- Ability to share and communicate AI technology concepts clearly, both orally and in writing, to senior management, business sponsors, and technical resources in clear, concise language.
- Displays good business acumen with ability to translate AI technical capabilities into business value propositions.
- Strong vendor relationship management and negotiation skills for AI technology partnerships.
- Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related technical field.
- TOGAF / COBIT or related enterprise architecture certification preferred.
- Cloud platform certifications (Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Architect) beneficial.
- AI/ML certifications from major vendors (Microsoft AI Engineer, AWS Machine Learning, Google ML Engineer) preferred.
- Seasoned experience gained in multiple industries and across several AI technology disciplines and vendor platforms.
- Seasoned experience with AI solution development processes, vendor evaluation methodologies, and AI project implementation life cycles.
- Seasoned experience working as a solution architect or senior engineer in enterprise technology environments, with specific focus on AI/ML or similar technologies.
- Proven experience in vendor management, technology assessment, and enterprise AI solution delivery.
- Demonstrated experience in leading complex AI technology evaluations and implementation projects.
- Experience with enterprise AI governance, risk management, and compliance frameworks.
- Track record of successful AI vendor partnership development and management.
- Experience in mentoring junior engineers and contributing to technical team development.
Workplace type:
Hybrid Working
About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an email address. If you suspect any fraudulent activity, please contact us .
AI Technology and Innovation Engineer
Posted today
Job Viewed
Job Description
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it's a place where you can grow, belong and thrive.
Your day at NTT DATA
The AI Innovation Engineer is responsible for defining and delivering AI technology solutions that meet enterprise capability requirements. This role focuses on evaluating, designing, and implementing AI solutions from established vendors, ensuring integration with existing enterprise architecture while providing expert guidance on AI technology adoption and innovation strategies.
Key Responsibilities
- Defines AI solutions and technology implementations to deliver specific capability maturity levels for enterprise AI adoption.
- Ensures that AI solutions are agile, scalable, and can be integrated into the overall enterprise architecture and technology landscape.
- Provides expert multi-vendor AI technology advice to internal clients, analyzing and providing strategies and solutions on AI platforms, tools, and integration components.
- Designs and communicates high-level AI solution architectures to enable and guide the implementation of integrated AI capabilities that meet current and future business needs.
- Uses client business requirements to advise on the design, deployment, and operation of AI technology infrastructures and vendor solutions.
- Creates AI solution designs that provide holistic views while containing detailed specifications of AI components and interconnections between systems.
- Involved with AI projects at inception, working alongside project managers in planning and governance of AI initiatives and functional analysis of developing initial AI requirements.
- Works with enterprise architects to define how proposed AI solution components fit into enterprise data architecture, defining clear AI technology roadmaps that improve existing solutions through new AI technologies and methodologies.
- Supports and manages proof of concept (POC) and prototype initiatives to validate new AI solutions, vendor tools, and implementation methods.
- Contributes to improvement of internal effectiveness by enhancing current AI evaluation methodologies, testing processes, and vendor assessment tools.
- Supports internal teams and vendors with installation and configuration of AI applications and platforms.
- Conducts comprehensive vendor AI technology assessments, benchmarking, and capability evaluations.
- Develops and maintains AI testing frameworks and automated evaluation pipelines for continuous vendor solution assessment.
- Establishes AI governance frameworks and best practices for enterprise AI adoption and risk management.
- Performs any other related tasks as required.
Knowledge and Attributes
- Seasoned ability to construct AI solutions using expertise across multiple vendor AI platform offerings and enterprise integration patterns.
- Seasoned knowledge of multi-vendor AI technologies, platforms, and infrastructure design best practices across cloud, hybrid, and on-premises environments.
- Seasoned multi-layered knowledge of AI solution architectures, vendor ecosystems, and enterprise AI reference architectures.
- Seasoned knowledge of project management principles and agile methodologies for AI implementation projects.
- Seasoned knowledge of AI vendor roadmaps, emerging AI developments, and new AI product offerings from major technology providers.
- Deep understanding of AI testing methodologies, performance benchmarking, and capability assessment frameworks.
- Expert knowledge of enterprise AI integration patterns, API management, and AI solution deployment strategies.
- Comprehensive understanding of AI governance, ethics, compliance requirements, and responsible AI practices.
- Analytical in their approach to AI technology evaluation and solution design.
- Excellent interpersonal and communication skills to effectively interact with a variety of stakeholders including vendors, business leaders, and technical teams.
- Ability to share and communicate AI technology concepts clearly, both orally and in writing, to senior management, business sponsors, and technical resources in clear, concise language.
- Displays good business acumen with ability to translate AI technical capabilities into business value propositions.
- Strong vendor relationship management and negotiation skills for AI technology partnerships.
Academic Qualifications And Certifications
- Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related technical field.
- TOGAF / COBIT or related enterprise architecture certification preferred.
- Cloud platform certifications (Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Architect) beneficial.
- AI/ML certifications from major vendors (Microsoft AI Engineer, AWS Machine Learning, Google ML Engineer) preferred.
Required Experience
- Seasoned experience gained in multiple industries and across several AI technology disciplines and vendor platforms.
- Seasoned experience with AI solution development processes, vendor evaluation methodologies, and AI project implementation life cycles.
- Seasoned experience working as a solution architect or senior engineer in enterprise technology environments, with specific focus on AI/ML or similar technologies.
- Proven experience in vendor management, technology assessment, and enterprise AI solution delivery.
- Demonstrated experience in leading complex AI technology evaluations and implementation projects.
- Experience with enterprise AI governance, risk management, and compliance frameworks.
- Track record of successful AI vendor partnership development and management.
- Experience in mentoring junior engineers and contributing to technical team development.
Workplace type:
Hybrid Working
About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an
email address. If you suspect any fraudulent activity, please
contact us
.
AI Technology and Innovation Engineer
Posted 22 days ago
Job Viewed
Job Description
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The AI Innovation Engineer is responsible for defining and delivering AI technology solutions that meet enterprise capability requirements. This role focuses on evaluating, designing, and implementing AI solutions from established vendors, ensuring integration with existing enterprise architecture while providing expert guidance on AI technology adoption and innovation strategies.
**Key Responsibilities**
+ Defines AI solutions and technology implementations to deliver specific capability maturity levels for enterprise AI adoption.
+ Ensures that AI solutions are agile, scalable, and can be integrated into the overall enterprise architecture and technology landscape.
+ Provides expert multi-vendor AI technology advice to internal clients, analyzing and providing strategies and solutions on AI platforms, tools, and integration components.
+ Designs and communicates high-level AI solution architectures to enable and guide the implementation of integrated AI capabilities that meet current and future business needs.
+ Uses client business requirements to advise on the design, deployment, and operation of AI technology infrastructures and vendor solutions.
+ Creates AI solution designs that provide holistic views while containing detailed specifications of AI components and interconnections between systems.
+ Involved with AI projects at inception, working alongside project managers in planning and governance of AI initiatives and functional analysis of developing initial AI requirements.
+ Works with enterprise architects to define how proposed AI solution components fit into enterprise data architecture, defining clear AI technology roadmaps that improve existing solutions through new AI technologies and methodologies.
+ Supports and manages proof of concept (POC) and prototype initiatives to validate new AI solutions, vendor tools, and implementation methods.
+ Contributes to improvement of internal effectiveness by enhancing current AI evaluation methodologies, testing processes, and vendor assessment tools.
+ Supports internal teams and vendors with installation and configuration of AI applications and platforms.
+ Conducts comprehensive vendor AI technology assessments, benchmarking, and capability evaluations.
+ Develops and maintains AI testing frameworks and automated evaluation pipelines for continuous vendor solution assessment.
+ Establishes AI governance frameworks and best practices for enterprise AI adoption and risk management.
+ Performs any other related tasks as required.
**Knowledge and Attributes**
+ Seasoned ability to construct AI solutions using expertise across multiple vendor AI platform offerings and enterprise integration patterns.
+ Seasoned knowledge of multi-vendor AI technologies, platforms, and infrastructure design best practices across cloud, hybrid, and on-premises environments.
+ Seasoned multi-layered knowledge of AI solution architectures, vendor ecosystems, and enterprise AI reference architectures.
+ Seasoned knowledge of project management principles and agile methodologies for AI implementation projects.
+ Seasoned knowledge of AI vendor roadmaps, emerging AI developments, and new AI product offerings from major technology providers.
+ Deep understanding of AI testing methodologies, performance benchmarking, and capability assessment frameworks.
+ Expert knowledge of enterprise AI integration patterns, API management, and AI solution deployment strategies.
+ Comprehensive understanding of AI governance, ethics, compliance requirements, and responsible AI practices.
+ Analytical in their approach to AI technology evaluation and solution design.
+ Excellent interpersonal and communication skills to effectively interact with a variety of stakeholders including vendors, business leaders, and technical teams.
+ Ability to share and communicate AI technology concepts clearly, both orally and in writing, to senior management, business sponsors, and technical resources in clear, concise language.
+ Displays good business acumen with ability to translate AI technical capabilities into business value propositions.
+ Strong vendor relationship management and negotiation skills for AI technology partnerships.
**Academic Qualifications and Certifications**
+ Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related technical field.
+ TOGAF / COBIT or related enterprise architecture certification preferred.
+ Cloud platform certifications (Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Architect) beneficial.
+ AI/ML certifications from major vendors (Microsoft AI Engineer, AWS Machine Learning, Google ML Engineer) preferred.
**Required Experience**
+ Seasoned experience gained in multiple industries and across several AI technology disciplines and vendor platforms.
+ Seasoned experience with AI solution development processes, vendor evaluation methodologies, and AI project implementation life cycles.
+ Seasoned experience working as a solution architect or senior engineer in enterprise technology environments, with specific focus on AI/ML or similar technologies.
+ Proven experience in vendor management, technology assessment, and enterprise AI solution delivery.
+ Demonstrated experience in leading complex AI technology evaluations and implementation projects.
+ Experience with enterprise AI governance, risk management, and compliance frameworks.
+ Track record of successful AI vendor partnership development and management.
+ Experience in mentoring junior engineers and contributing to technical team development.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .
AI Software Development Facilitator
Posted today
Job Viewed
Job Description
We're looking for a dynamic AI Software Development Facilitator to join our team — someone who can guide, mentor, and inspire the next generation of developers in AI technologies and modern software practices.
Key Responsibilities
- Facilitate interactive sessions and workshops on AI concepts, programming, and software development.
- Provide hands-on guidance in Python, Machine Learning frameworks and software engineering best practices.
- Develop and update learning materials aligned with current industry trends.
- Evaluate student progress and provide constructive feedback.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 5 plus years of experience in facilitating in AI, data science, or software development.
- Excellent facilitation, communication, and mentoring skills.
- Passionate about teaching and continuous learning.
- Exposure to generative AI tools (ChatGPT, Gemini, Claude, etc.).
Apply now
Send your updated CV to - with the subject line "AI Software Development Facilitator Application."
Job Type: Temporary
Work Location: In person
AI Software Development Facilitator
Posted today
Job Viewed
Job Description
We're looking for a dynamic
AI Software Development Facilitator
to join our team — someone who can guide, mentor, and inspire the next generation of developers in AI technologies and modern software practices.
Key Responsibilities
- Facilitate interactive sessions and workshops on AI concepts, programming, and software development.
- Provide hands-on guidance in Python, Machine Learning frameworks and software engineering best practices.
- Develop and update learning materials aligned with current industry trends.
- Evaluate student progress and provide constructive feedback.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 5 plus years of experience in facilitating in AI, data science, or software development.
- Excellent facilitation, communication, and mentoring skills.
- Passionate about teaching and continuous learning.
- Exposure to generative AI tools (ChatGPT, Gemini, Claude, etc.).
Apply now
Send your updated CV to - with the subject line
"AI Software Development Facilitator Application."
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AI-Powered Product Development
Posted today
Job Viewed
Job Description
Role: AI-Powered Product Development & Creative Operations Coordinator
Location: 100% Remote
Schedule: Monday to Friday, 8:00am to 5:00pm PST
About the client
A vibrant lifestyle brand known for its bold, nostalgic aesthetic and playful character-led designs. The company offers a wide array of accessories, tech gear, beauty items, and collaborative product lines with other creative brands.
Its offerings often feature signature whimsical characters, holographic finishes, and a strong pop-culture vibe. The brand maintains a high level of community engagement and frequently launches limited-edition drops and themed collections, appealing both to long-time fans and new generations who love creative, expressive style.
About the role
We are seeking a visionary, tech-savvy, and highly organized individual to join our team as an AI-Powered Product Development & Creative Operations Coordinator. This unique role is central to revolutionizing our product development lifecycle by integrating artificial intelligence into our creative processes. The ideal candidate will leverage AI as a core partner to accelerate creative exploration, refine design concepts with data-driven insights, and optimize our entire creative operations workflow.
This role requires a blend of creative thinking and meticulous organization, with a passion for utilizing AI tools to generate concepts, streamline timelines, and unlock new possibilities in product design.
1. AI-Driven Creative Development & Design Exploration
- AI Concept Generation: Operate AI concept generation tools (e.g., Midjourney, Stable Diffusion, DALL-E 3) to rapidly produce diverse product designs, themes, and visual concepts.
- Prompt Engineering & AI Concept Artistry: Utilize prompt engineering to guide AI in creating targeted, brand-aligned design variations, effectively acting as an "AI Concept Artist" to visualize new ideas.
- Data-Driven Design Selection: Employ AI analysis tools to refine design options based on predefined criteria, historical performance data, and market trends.
- Innovation Facilitation: Present AI-generated concepts to creative and product teams during brainstorming sessions, using them as catalysts for innovation and iteration.
- Asset Management: Build and maintain a comprehensive library of AI-generated assets, prompts, and styles to support continuous creative development.
2. Creative Operations & Project Management
- Central Project Hub: Serve as the central point of contact for all creative project timelines, from initial concept through to final delivery.
- Workflow Management: Implement and manage project management software (e.g., Asana, Jira, Trello) to meticulously track tasks, deadlines, and deliverables for the product development and design teams.
- Efficiency Enhancement: Proactively identify bottlenecks in the creative workflow and propose AI-powered or process-based solutions to enhance efficiency.
- Cross-Functional Coordination: Coordinate and communicate effectively across departments—including design, marketing, engineering, and external vendors—to ensure seamless project execution and alignment.
- Request Prioritization: Manage the intake of new creative requests and prioritize them based on strategic goals and available resources.
3. AI-Powered Process Optimization
- Tool Integration: Research and integrate new AI tools that assist with mood board creation, trend forecasting, and competitive analysis.
- Task Automation: Explore and implement AI solutions for automating repetitive tasks within the creative workflow (e.g., file organization, basic resizing, version control).
- Performance Tracking: Track and report on key performance indicators for the creative process, such as concept-to-final time, number of iterations, and project throughput, leveraging data to drive continuous improvements.
Qualifications and Experience
- Experience: 2+ years in a creative operations, project coordination, or junior product design role.
- AI Portfolio: A strong portfolio or case studies demonstrating hands-on experience with AI image generation tools (Midjourney, DALL-E, etc.) for conceptual design work.
- Organizational Skills: Exceptional organizational and project management skills, with proficiency in tools like Asana, Jira, or Trello.
- Communication: Excellent communication and collaboration skills to effectively bridge the gap between creative vision and operational execution.
- Creative Eye: A keen creative eye with the ability to articulate feedback and guide AI output toward a desired aesthetic.
Preferred:
- Educational Background: Background or education in Design, Fine Arts, Project Management, or a related field.
- Product Development Knowledge: Understanding of fundamental product development lifecycle stages.
- Prompt Engineering Expertise: Experience with prompt engineering techniques to achieve specific and consistent AI-generated results.
- Data Analysis: Basic knowledge of data analysis to interpret trends and inform design decisions.
- Additional AI Tools: Familiarity with other AI tools for video, 3D modeling, or copywriting is a plus.
Personal Attributes
- Innovative & Curious: A relentless experimenter excited by the potential of AI to transform creativity.
- Efficiency-Obsessed: Naturally seeks out ways to automate and improve processes.
- Bridge Builder: Thrives on connecting people, ideas, and technology.
- Adaptable & Agile: Comfortable in a fast-paced environment where tools and best practices evolve rapidly.
- Detail-Oriented: Meticulous in managing timelines, assets, and communication.
Machine Learning
Posted 10 days ago
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Job Description
A specialised AI consulting firm is seeking a Machine Learning Engineer to join our team. This role offers the opportunity to work on high-impact AI initiatives within the banking sector , where you will play a key part in designing, deploying, and scaling advanced machine learning solutions. You’ll collaborate with data scientists, engineers, and business stakeholders to deliver end-to-end AI systems that enhance decision-making, improve customer experiences, and optimise critical processes. Beyond building models, you’ll be responsible for ensuring their performance, reliability, and scalability in production—using modern cloud platforms and MLOps practices.
Responsibilities:
- Design, build, and optimise machine learning models for banking applications.
- Implement scalable ML pipelines and integrate them into production environments.
- Collaborate with data scientists, data engineers, and business stakeholders to deliver end-to-end AI solutions.
- Deploy, monitor, and maintain ML models in AWS environments .
- Ensure model reliability, reproducibility, and performance throughout the lifecycle.
- Document methodologies, workflows, and best practices.
Qualifications and experience:
- 3–5 years of experience in machine learning, data science, or related field.
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with large datasets and SQL/NoSQL databases .
- Essential: Hands-on experience with AWS cloud services (SageMaker, S3, Lambda, EC2, Glue, Redshift).
- Familiarity with MLOps practices and CI/CD for ML pipelines.
- Strong problem-solving ability with a track record of translating business needs into technical solutions.
- Experience in banking or financial services is advantageous, but not required.
- Proven experience taking AI models into production at scale .
- Exposure to containerisation (Docker, Kubernetes).
- Familiarity with ML model monitoring and observability tools.
The reference number for this position is NG60802 which is a contract position in Johannesburg/Cape Town offering a contract rate of R550 to R750 per hour, salary negotiable based on experience. e-mail Nokuthula on or call her for a chat on to discuss this and other opportunities.
Are you ready for a change of scenery? E-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the E-Merge IT website for more great positions.
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Cofounder Business Development @ AI Productivity Startup
Posted today
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Job Description
Part-time, remote, mostly equity compensation, to be founder of an AI productivity startup.
Are you a results-driven business development professional with a passion for connecting with small to medium-sized digital companies? Do you thrive on introducing innovative solutions that enhance productivity?
We are a productivity company offering AI-based project management SaaS and coaching/consulting on Agile methodologies and Getting Things Done (GTD) practices. Our work helps both individuals and organizations become more focused, effective, and aligned. We are now looking for a
Business Development & Cofounder (SaaS Focus)
to help us expand our reach and grow our client base.
Your Mission as Business Development & Cofounder
You'll be a key driver in our growth, directly engaging with potential clients and shaping our market presence. Key tasks include:
- Identifying and contacting small to medium-sized companies that primarily work digitally.
- Introducing them to our AI-based project management SaaS and/or our productivity and Agile coaching services.
- Building relationships and securing trials/engagements for our products and services.
- Contributing to overall business strategy and market positioning.
- Being co-director of our non-profit.
Ideal Skills & Background
- Proven experience in business development, sales, or client acquisition, preferably in SaaS or a related digital service industry.
- Strong communication skills.
- Self-motivated with a strong ability to work independently and remotely.
- Bonus if you have a foundational understanding of Agile methodologies (Scrum, Kanban) or productivity systems (GTD).
Our Cooperative Structure
We operate as a cooperative, not a traditional startup. That means we are a team of cofounders who share ownership and company-wide revenue based on contribution.
- You will earn equity in the company, like all other cofounders.
- You will also receive a direct revenue share from the clients you personally acquire.
- Time commitment is flexible, with part-time contributions welcomed.
- As the company grows, cash payouts will increase proportionally.
About Us
We are a productivity startup focused on helping individuals and organizations implement Agile planning, GTD, and smart execution systems. Our mission is to bring clarity, momentum, and accountability to people's work. We are about to launch an AI-first project management system.
Time Commitment & Compensation
- Start with as little as 2 hours per week.
- Compensation includes equity and revenue share.
- Initial cash payouts are limited to 10%, with the rest in equity and revenue share.
- Important Note:
As long as we are not making significant revenue or have not secured external investment, there will be no or very little cash payment. This is an opportunity to build a startup. However, in term of equity you are getting the same deal as e ery other cofounder. So you really can become a major owner of the company, in case you are willing to contribute your work.
Company Ownership
Our structure allows contributors to build up real ownership in the company. We are evolving toward a DAO-like model where decision-making and profit-sharing are distributed fairly and transparently.
Our Global Team
You'll work alongside an experienced, international team from Germany, USA, Kenya, India, and Canada. We value autonomy, clear communication, and shared responsibility.
To Apply as Business Development & Cofounder (SaaS Focus)
Apply if this sounds like you:
- You're comfortable reaching out to small and medium-sized digital companies.
- You're comfortable working remotely and part-time.