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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer (Co pilot) - **Company:** JCDecaux UK - **Location:** Greater London, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), DevOps, Distributed Systems, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Azure Machine Learning, Software Engineering, Data Logging, Google Cloud, Enterprise Software Applications, Pytorch, Office365, Large Language Models, Prompt Engineering, Apache Spark, Git, Pandas, Event Driven Architecture, Containerization, AI Platforms, Scikit Learn, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Virtual Agents, GPT, Data Pipelines, Docker, Databricks, Microservices - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2856376982-artificial-intelligence-engineer-co-pilot ## About the Role * Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. * Previous experience in AI, data science, ML engineering or advanced analytics. * hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based copilots, custom AI assistants/agents). * Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). * Proven 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 (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). * Experience working in agile, cross-functional delivery teams. Desired but not essential…. * Postgraduate study or certifications in AI, machine learning or data science. * Microsoft co pilot is a must * Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. * Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). * Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). * Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) ## Description The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production-grade AI assistants, copilots and intelligent agents embedded into products, processes and decision making. Working closely with technology and business teams, the AI Engineer oversees solutions from experimentation through to deployment, optimisation and support, ensuring they integrate with JCDecaux UK's digital, data and technology landscape. The role supports JCDecaux UK's vision and mission by using advanced AI to pioneer real-world communications and enhance client and consumer understanding. Reports to: Chief Innovation and Technology Officer What you'd be doing... * Design and implement AI copilots and agentic AI solutions that assist users, automate multi-step tasks and orchestrate calls to internal tools and systems. * Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures. * Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. * Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft 365 Copilot, Azure, internal apps). * Integrate AI agents with enterprise systems (e.g. CRM, ERP, scheduling, inventory, data platforms) via APIs and microservices. * Collaborate with data engineers to design data pipelines, retrieval layers (vector stores, search indices) and large-scale processing using big data frameworks. * Implement monitoring, logging and analytics to track usage, performance, quality and user satisfaction, and lead optimisation to address issues such as drift, hallucinations and latency. * Contribute to AI engineering standards, guardrails and best practices, and support incident investigation and resolution with Service Delivery. * Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments. * Share knowledge and mentor colleagues to build AI literacy and capability across IT and the wider business. ## Related Videos - [Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [GitHub Copilot: Beyond the Basics – 10 Ways to Elevate Your Coding](https://www.wearedevelopers.com/magazine/524-github-copilot-beyond-the-basics-10-ways-to-elevate-your-coding) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How we Build The Software of Tomorrow](https://www.wearedevelopers.com/magazine/120-how-we-build-the-software-of-tomorrow)