Innovation Engineer

Role Purpose Build and operate TJDEED’s Innovation Engine by turning business, customer and market problems into experiments, prototypes, AI-enabled solutions and validated opportunities. Key Responsibilities Identify opportunities and pain points from customers, Sales, Services, technology and internal operations. Translate problems into clear innovation hypotheses, solution concepts and technical experiments. Research emerging technologies, especially AI agents, LLMs, automation, integrations and enterprise software. Rapidly build prototypes and proofs of concept (POCs) to validate technical feasibility and business value. Evaluate build-vs-buy options, APIs, platforms, models and third-party technologies. Work with Technology teams on architecture, security, integration and scalability considerations. Document experiments, assumptions, results, lessons learned and recommendations. Maintain an Innovation Pipeline covering ideas, experiments, POCs and validated opportunities. Help transfer successful innovations into production or commercialisation. Use AI-assisted development and automation to increase experimentation speed. Ideal Candidate Strong curiosity and passion for emerging technology. Builder mindset: prefers working prototypes over theoretical proposals. Strong problem-solving ability in ambiguous situations. • Comfortable with rapid experimentation and learning from failure. Understands that innovation must create customer, revenue, efficiency or strategic value. Communicates technical concepts clearly to non-technical stakeholders. Collaborates effectively across Technology, Sales, Services, AI and other business units. 4. Technical Requirements Strong software engineering fundamentals. Practical Python and/or JavaScript/TypeScript skills. APIs, REST, webhooks, databases and integrations. Generative AI, LLMs, AI agents, prompt engineering and AI workflows. Cloud platforms, automation tools, Git and modern development practices. Ability to assess security, reliability and scalability at prototype level. R&D;, POC, hackathon or innovation experience is a strong advantage. Experience & Education 2–5 years in software, AI, R&D;, automation or related technology. Bachelor’s degree in Computer Science, Software Engineering, AI, IT or related field preferred. Strong practical portfolio may substitute for part of formal experience.