Strategic Automation Associate

• Identify inefficiencies across organisational processes and design AI-powered or automated alternatives • Partner with business units to deeply understand their workflows, then challenge and improve them • Drive the design and implementation of intelligent systems that create lasting operational impact • Continuously scan the AI landscape including new models, emerging frameworks, and disruptive tools and translate relevant information into actionable intelligence for the organisation • Evaluate vendors, platforms, and technology partners with a critical and strategic eye • Produce sharp, well-researched briefs to support leadership decision making • Build compelling, rigorous business cases for AI and automation initiatives including ROI models, risk frameworks, and strategic rationale • Present ideas to senior leadership with clarity, confidence, and conviction • Champion the adoption of new AI tools by leading training sessions and supporting change enablement across the organisation • Craft high-quality reports, dashboards, and executive presentations that inform and inspire • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline • Graduated within the last 3 years (early-career role, 0–3 years post-graduate experience • Genuine grounding in software development, systems thinking, or data • Certifications in AI or machine learning (e.g., Google AI, Microsoft Azure AI, IBM AI Engineering, DeepLearning AI) are strong differentiators • Strategic and commercial instinct with familiarity in business operations, process design, or organizational dynamics • Strong interpersonal skills to explain complex AI concepts to C-suite executives • Polished written communication and ability to build visually coherent presentations • Proactive, analytically sharp, adaptable, comfortable interacting with senior stakeholders in cross-functional environments • Hands-on experience or strong curiosity demonstrated through academic projects, personal builds, open-source contributions, or self-directed learning • Experience or familiarity with AI agent frameworks and orchestration tools such as LangGraph, LangSmith, CrewAI, Hugging Face • Beginner to intermediate skills in multi-agent frameworks (AutoGen or equivalent), no-code/low-code automation tools (Flowise or n8n), and LLM-integrated applications (OpenAI API / Azure OpenAI) • Basic Docker and Cloud (AWS or Azure) skills sufficient to set up and deploy applications