AI Engineer

In this AI Engineer role you design, build and operate scalable AI solutions that augment users and automate complex workflows. You will shepherd Copilot and agentic AI initiatives from experimentation through deployment, aligning them with JCDecaux UK’s digital and technology landscape. You partner with technology and business teams to translate use cases into production-grade assistants and agents embedded in products and processes. You will drive responsible AI, security, and governance while mentoring colleagues to raise AI literacy across IT and the business. This is a mission-driven position at a company investing in AI to transform client and consumer understanding at scale.

• flexible working arrangements
• opportunity to work with AI at scale
• career development and mentoring
• collaborative, inclusive culture
• support for learning and growth
• diversity and inclusion commitments

• Design and implement AI copilots and agentic AI solutions to assist users and orchestrate tasks across internal tools
• Translate business use cases into Copilot scenarios, prompts, connectors and agent behaviors with secure, scalable architectures
• Build and maintain AI components (e.g., RAG, classification, recommendation, summarisation) using Python and ML/LLM frameworks
• Implement end-to-end MLOps pipelines from development to production and monitor deployments
• Integrate AI agents with enterprise systems via APIs and microservices
• Collaborate with data engineers on data pipelines, vector stores and large-scale processing
• Implement monitoring, logging and analytics to track usage, performance and quality; address drift and latency
• Contribute to AI engineering standards, guardrails and best practices; support incident resolution
• Ensure compliance with security, privacy, and ethical AI requirements; risk assessments
• Share knowledge and mentor colleagues to build AI capability across IT and the wider business

• Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or closely related field
• Experience in AI, data science, ML engineering or advanced analytics
• Hands-on experience designing, building and deploying Copilot and/or agentic AI solutions
• Strong proficiency in Python for AI/ML development with common libraries
• Experience integrating AI services with enterprise systems via APIs and event-driven architectures
• Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots
• Familiarity with cloud platforms (Azure preferred) and AI services like Azure OpenAI/AI
• Experience working in agile, cross-functional delivery teams

• Collaborative mindset
• Mentorship and knowledge sharing
• Strong problem-solving and communication
• Python for AI/ML development (TensorFlow, PyTorch, scikit-learn, pandas, NumPy)
• RAG, prompt engineering, LLMs
• API integration and event-driven architectures