Strategic Automation Associate

Job Description Roles & Responsibilities 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 Desired Candidate Profile 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 Employment Type Full Time Company Industry AutomotiveAutomobileAuto Accessories Department / Functional Area Corporate PlanningConsultingStrategyM&A Keywords AIArtificial IntelligenceIntelligent AutomationProcess TransformationStrategy & AIBusiness Case DevelopmentROI ModelsLangGraphLangSmithCrewAIHugging FaceAutoGenFlowiseN8nOpenAI APIAzure OpenAIDockerCloudAWSAzure Get real-time job updates only on our App