Architect: Enterprise AI & Automation
The Coca-Cola Company · Gauteng
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- Coca-Cola Beverages Africa CCBA presents an exciting opportunity for an Architect: Enterprise AI & Automation.
Key Duties & Responsibilities
- AI & Automation Strategy and Architecture.
- AI Solution Design & Enablement.
- Generative AI & Intelligent Automation.
- Capability Development.
- AI Governance, Risk & Responsible AI Management.
- AI Platform & Technology Enablement.
- Automation Architecture & Process Optimisation.
- AI Integration & Enterprise Solution Alignment.
- AI Use Case Identification & Value Realisation.
- AI Security, Compliance & Operational Readiness.
- AI Standards, Patterns & Architecture Assurance.
- AI & Automation Architecture: Define and govern enterprise AI and automation architecture, principles, standards, and reference patterns that enable scalable adoption across the organisation.
- AI Enablement & Innovation: Identify, design, and enable AI and automation solutions that improve productivity, decision-making, and business outcomes.
- Responsible AI Governance: Establish governance frameworks, controls, and practices that ensure AI solutions are secure, ethical, compliant, and aligned to enterprise standards.
- Reusable AI & Automation Capability: Develop repeatable AI patterns, frameworks, and solution approaches that accelerate delivery and reduce duplication.
- Automation & Process Optimisation: Enable intelligent automation opportunities that simplify processes, improve efficiency, and enhance user experiences.
- AI Platform & Technology Enablement: Guide the adoption and optimisation of AI platforms, tooling, and emerging technologies aligned to business strategy.
- Architecture Assurance & Advisory: Provide technical guidance and solution assurance to delivery teams, architects, and business stakeholder.
- Operational AI Readiness: Ensure AI solutions are scalable, supportable, secure, and ready for enterprise adoption?
Skills, Experience & Education Education
- Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Engineering, or related field.
- AI, machine learning, cloud, or architecture certifications advantageous.
Experience
- 8–12 years' experience in solution architecture, AI, automation, digital transformation, or technology enablement.
- Experience designing enterprise AI, generative AI, and intelligent automation solutions.
- Experience with AI platforms, cloud services, automation technologies, and integration patterns.
- Experience implementing AI governance and Responsible AI practices.
- Experience translating business opportunities into scalable technology solutions.
- Enterprise, FMCG, manufacturing, or multi-market experience advantageous.
Skills
- AI and automation architecture.
- Generative AI, machine learning, and intelligent automation concepts.
- AI governance and Responsible AI principles.
- Cloud AI platforms and automation technologies.
- AI solution design and architecture assurance.
- Business process optimisation and automation.
- Data and analytics understanding.
- Enterprise architecture principles.
- Stakeholder influencing and communication.
- Innovation mindset and emerging technology awareness.
- Analytical thinking and problem solving.
Deadline:30th September,2026