Artificial Intelligence

• Own AI-driven workflows and product improvements within specific parts of the product suite
• Identify friction in how clients and teams use the product and propose solutions
• Build and iterate on AI-powered automations, tools, and workflows to improve delivery and outcomes
• Be responsible for deciding what matters within your product area, not just executing predefined tasks
• Use AI and internal tools to investigate product behaviour, debug issues, and test ideas
• Work directly with engineers to ship changes and improvements
• Engage with clients when needed to understand real problems and validate solutions.

AI Product Builder

• Playing a central role within an international recruitment and market-intelligence organisation.
• Support operational excellence through the strategic deployment of workflow automations and intelligence tools.
• Transform existing, manual recruitment and business-development processes into automated, scalable, and highly efficient systems.
• Build AI-assisted workflows, automate CRM pipelines, and establish clear operational dashboards to enhance overall service delivery.

AI Systems – Operations Integrator

• Collaborate with cross-functional teams to identify bottlenecks, analyse manual workflows, and design robust automation strategies.
• Inherit live TRT infrastructure (AI agent, tagging architecture, existing flows) and iterate on them.
• Design and deploy automated pipelines connecting our custom-made backend system’s APIs with Zendesk and other enterprise systems using low-code/no-code tools.
• Evaluate where LLMs and AI agents genuinely add value and embed them into daily operations.
• Validate automated workflows, monitor model outputs for accuracy, and troubleshoot system failures.
• Create documentation, establish data security policies, and train internal teams on how to adopt and use the new automated tools.

Senior AI Automation, Zendesk Specialist

• Build internal tools and coach-facing features on top of LLMs (Claude, OpenAI, open-source models)
• Turn unstructured conversational data (WhatsApp threads, coaching notes) into structured, reliable signal
• Design and maintain prompt chains, RAG pipelines, and agent workflows where they genuinely help
• Prototype rapidly, going from idea to working demo in days
• Evaluate model outputs, set up evals, and iterate on quality, with a focus on accuracy coaches can trust
• Wire AI into our existing systems (platform APIs, databases, WhatsApp, Slack)
• Own the full stack of what you ship: frontend, backend, model integration, deployment
• Sit with coaches regularly. Watch how they work. Build for their reality, not for a spec

AI Builder

• AI Oversight & Quality Assurance: Monitor AI-generated patient communications across multiple channels; review and adjust conversations for accuracy, quality, tone, and professionalism
• Tone & Empathy Optimization: Refine AI responses to be clear, conversational, empathetic, and culturally attuned to a U.S. audience — helping actively shape how the AI communicates, not just checking it
• Human Intervention & Escalation: Spot errors, inconsistencies, or complex questions; step in on nuanced conversations, gather context, and route critical details to the right team members
• Patient Outreach: Send accurate messages, updates, and routine reminders per established workflows
• Documentation & Support: Help create and maintain patient-facing support documentation and materials
• Systems & Platform Adaptation: Work across Airtable and the client's proprietary in-house application, which is currently mid-migration — expect to operate across both platforms in the near term before the team moves fully onto the native app
• Process Improvement & Reporting: Work with internal teams to spot messaging trends, categorize information, and suggest improvements to AI performance and workflow
• Compliance & Service Levels: Keep meticulous records of patient interactions in line with healthcare policy, while meeting SLAs — with quality prioritized over raw speed

Patient Engagement Specialist – AI Quality

• Analyze and improve existing processes across different departments (for example, Sales/Customer Support, etc.)
• Reduce manual work using automation tools and AI-based solutions
• Handle technical requests in internal chats, including resolving issues related to tools such as HubSpot, Aircall, Stripe, and similar platforms
• Research tools, workflows, and technical solutions to support business needs
• Design and introduce new processes that improve operational efficiency

AI Automation, Optimization Specialist

• Prepare detailed construction cost estimates and tender pricing submissions.
• Review architectural and construction drawings and specifications.
• Perform quantity take-offs and measure project requirements accurately.
• Assess project scope and identify potential cost risks or omissions.
• Validate and quality-check AI-generated estimates and take-offs.
• Apply professional judgement to identify pricing discrepancies, logic errors, or missing information.
• Liaise directly with contractors, builders, and project stakeholders to clarify project requirements.
• Maintain estimating databases and pricing information.
• Support continuous improvement initiatives within the estimating process.
• Work collaboratively within a fast-paced and evolving environment.

Estimator – AI-Augmented, UK Construction Estimating

• Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
• Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
• Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
• Provide concise, structured annotations that can be used directly for model improvement.
• Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards

AI Expert – Sepedi

• Architect and support AI-enabled learning and knowledge solutions
• Help shape scalable AI workflows and technical learning experiences
• Advise on AI tooling, automation, and platform capabilities
• Translate business and operational requirements into technical solutions
• Support prototyping, testing, and iteration of AI-driven experiences
• Collaborate across product, operations, engineering, and delivery teams
• Evaluate and recommend scalable technical approaches and integrations
• Identify risks, technical constraints, and implementation considerations early
• Support technical decision-making across AI product and learning ecosystems
• Contribute to best practices around AI-enabled delivery and workflows

Artificial Intelligence jobs in South Africa

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