• Be responsible for planning, creating, enhancing, testing and deploying secure, scalable web applications, with a focus on maintainability and automation
• Design and maintain internal libraries, tools and CI/CD pipelines, including the use of AI‑assisted development and testing tools where appropriate
• Apply AI‑enabled approaches to improve developer productivity, code quality, testing, documentation or user workflows
• Ensure strong alignment between technical solutions and business goals through effective requirements grooming and solution design
• Develop a solid understanding of business logic, analytical products and underlying datasets
• Review existing manual and semi‑automated processes and design automation solutions, by adopting scripting, workflows, APIs and AI‑enabled components where appropriate
• Apply team quality, security and governance standards, including responsible use of AI technologies

• Provide support and mentorship to team members through effective communication and collaboration
• Take leadership in agile development processes, ceremonies and continuous improvement initiatives
• Partner closely with analytics and data colleagues to translate analytical outputs into intuitive, usable applications

• Improve and create technical, architectural and onboarding documentation, using automation and AI assistance where appropriate
• Actively share knowledge and promote modern engineering practices across the team
• Keep informed about cloud, AI‑enabled engineering, application security and software delivery trends, assessing their practical applicability

• Foster innovation and collaboration across the center by actively contribute to working groups and initiatives
• Champion and follow ACIA policies and guidelines
• Embrace the Aon Values that are foundation of the Aon Culture

Skills and experience that will lead to success

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related fields
• Minimum of 6 years of experience in full‑stack application development and CI/CD pipelines (e.g., Azure DevOps)
• Strong proficiency in programming languages such as JavaScript and C#, and frameworks such as ReactJS/Angular and .NET
• Experience building and consuming APIs, working with data‑intensive applications and cloud platforms (preferably Azure)
• Practical experience using AI‑assisted development tools or integrating AI‑enabled features (e.g., automation, intelligent search, summarisation, natural‑language interfaces)
• Understanding of responsible AI, security and data privacy considerations in enterprise environments
• Strong verbal and written communication skills, with the ability to explain technical concepts to non‑technical colleagues
• Critical thinking mentality with a proactive, focused approach to modernising tools and processes

• Exposure to Python or scripting for automation
• Experience with analytics platforms, data products or business intelligence tools
• Interest in improving developer experience, platform scalability and engineering efficiency