Overview

The AI Engineer will be responsible for helping identify, develop, implement and scale AI solutions across the CIMS organisation.

Qualifications

• Bachelor's or master's degree in computer science, engineering or a related field, or equivalent practical experience.
• Typically 5 - 8 years of experience in AI engineering, software engineering, GenAI, automation or related technology roles, with hands-on delivery experience.
• Hands-on experience developing or implementing AI-enabled solutions, preferably taking solutions from concept or pilot through production.
• Strong understanding of Generative AI, LLM applications, prompt engineering, RAG, AI agents and/or intelligent automation.
• Experience with Python and/or other relevant programming technologies, APIs and enterprise application integration.
• Ability to understand ambiguous business problems, evaluate technology options and translate them into practical solutions.
• Strong communication and stakeholder-management skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Experience in insurance, financial services or another regulated environment.
• Experience working with Microsoft AI and automation technologies such as Azure AI, Copilot Studio and Power Platform.
• Experience integrating AI with business applications, data sources, document repositories or workflow platforms.
• Experience taking AI pilots into production and scaling solutions across teams, processes or geographies.