AI Engineer

The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, focusing 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 decisions. 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.

What You’ll 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.

A Little Bit About You

• 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.
• 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).

We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.