AI Multimedia Designer

The Ignition Group is one of Africa's largest providers of technology, media, telecommunication and financial services, and is built around a powerful purpose - to make life better through innovative technology. We approach markets that are traditionally complex and contested, and then simplify them, making life easier for consumers, and business more efficient for our partners. Ignition, a central business vertical to the Ignition Group, was founded in 2002, by brothers Sean and Donovan Bergsma. Ignition Group, now one of Africa’s largest investors in technology, media, telecommunications and financial services sectors, provides a platform for sustainability and success. With a staff complement of nearly 3 000 people, we have a team of experts in the fields of IT, Finance, Marketing, Human Resources, Sales, Development, Compliance, Customer Care, Training and Support. Ignition Group has built a sound infrastructure to support a number of business verticals within the Group, allowing the business verticals to swiftly develop, innovate, adapt and support our Business Partners and strategies.Description Creative management & production: Owns and manages the end-to-end creative process for both CX and Group/MVNX - from brief interpretation through to finished, production-ready design and video assets (social creative, campaign visuals, motion/short-form video, web and sales collateral graphics) - using tools including Google Flow, Nano Banana and the Adobe Suite and others, where needed. AI-assisted design workflows: Assist with the building and refinement of AI-assisted workflows that speed up production - templating, resizing/repurposing across formats, first-pass generation - while applying the judgement needed to bring AI-generated output up to brand and production standard. Brand and production quality control. Owns the "crisping up" of AI-generated design output - proportion, typography, brand coherence, and print/digital production readiness - before anything goes external. This will be managed through a matrix testing system. Video editing: Edit short-form video content directly, using AI tools & platforms. Brief intake and prioritisation. Takes briefs directly from both AI Brand Operators (CX and Group), and manages a shared queue so neither brand is systematically deprioritised. Asset and brand library management. Maintains the shared library of brand assets, templates and design guidelines that both Brand Operators and the AI systems draw on. Requirements A relevant design/creative qualification. Experience Hands-on design and video experience across multiple formats - social, campaign, motion, web - paired with genuine fluency in AI-assisted design and video generation tools. This means actually directing and iterating AI output to a finished, brand-ready standard, not just generating a first draft and leaving it there.

SKILLS AND CAPABILITIES

Working fluency in the current AI creative stack - Google Flow, Nano Banana and Adobe Suite - plus a demonstrated ability to pick up new AI tools quickly. "Crisping up" AI-generated design output to brand and production standard - proportion, typography, brand coherence. Video editing, with growing AI-assisted videography capability. Judgement on when AI-generated creative is genuinely finished versus needs correction. Managing a shared production queue across two internal stakeholders without either being deprioritised. Maintaining and evolving a brand asset/template library.

DIGITAL AND AI FLUENCY

At Ignition Group, digital and AI fluency is not a nice-to-have it is a core performance requirement for every role, at every level. As AI and automation reshape how work gets done, the ability to work confidently and responsibly alongside these tools is as fundamental as any technical or professional skill. What this means in practice: Digital fluency — navigating and using digital platforms, tools, and systems relevant to your role with confidence and competence AI tool adoption — actively using approved AI productivity tools (e.g., Microsoft Copilot) to improve the quality, accuracy, and efficiency of your work Data literacy — reading, interpreting, and applying data and AI-generated outputs to make better decisions, not replacing your judgement but sharpening it Automation awareness — recognising tasks and processes that can be improved through automation, and contributing to those improvements Learning agility — staying curious, upskilling continuously, and adapting as tools and practices evolve Responsible and ethical AI use — understanding data privacy obligations, the limits of AI-generated content, and applying sound human judgement at all times