Principal AI & Software Solutions Lead

Join our Transformation team as a Principal AI & Software Solutions Lead. In this hands-on leadership role, you will shape, develop, and deliver practical AI and digital solutions that address real business and client needs. You will guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Additionally, you will foster a collaborative and inclusive environment for software engineers, support the development of junior and mid-level engineers, and contribute to the continuous enhancement of governance, standards, and ways of working.

• Contribuer à l'évaluation des opportunités, à l'orientation des approches techniques et au soutien à la progression des idées vers des solutions prêtes pour la production.
• Guider les activités de découverte, le développement de Proof of Concept et la transition des cas d'utilisation validés vers des solutions prêtes pour la production.
• Encadrer et soutenir le développement des ingénieurs juniors et intermédiaires par le biais de coaching, de mentorat, de retours constructifs et de partage de connaissances.
• Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI-enabled solutions within a professional environment
• Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud-native architectures, or similar technologies
• Demonstrate an understanding of data governance, information security, and Responsible AI principles
• Apply an understanding of software architecture principles and the delivery of maintainable, production-ready solutions
• Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies
• Have experience working with cloud-based platforms and services, with an appreciation of scalability, performance, security, and cost considerations
• Bring strong problem-solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach
• Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows
• Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices
• Bring experience working within large, complex, or highly regulated organisations
• Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value
• Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function
• Support the growth of others through mentoring, coaching, or knowledge-sharing activities
• Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real-world challenges
• Communicate effectively with both technical and non-technical stakeholders, building trust, understanding, and alignment
• Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas