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About the Role
The AI Engineer designs, builds, and operates scalable, secure AI solutions for JCDecaux UK, focusing on Copilot implementations and agentic AI to augment users and automate complex workflows. This role translates business and data requirements into production-grade AI assistants, copilots, and intelligent agents embedded into products, processes, and decision-making. The AI Engineer collaborates with technology and business teams, overseeing solutions from experimentation through deployment, optimization, and support, ensuring integration 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.
Responsibilities
- 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 behaviors, defining secure, scalable solution architectures.
- Build and maintain AI components (e.g., RAG, classification, recommendation, summarization) 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 optimization 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.
Requirements
- 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.
- 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 containerization 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).
Skills
- AI
- Data Science
- ML Engineering
- Advanced Analytics
- Copilot
- Agentic AI
- Microsoft 365 Copilot
- Azure OpenAI
- Python
- ML/LLM frameworks
- RAG
- Classification
- Recommendation
- Summarization
- MLOps
- APIs
- Microservices
- Big Data frameworks
- Prompt Engineering
- Vector Stores
- Search Indices
- Event-driven architectures
- Azure
- Agile
- Cross-functional delivery
- Data Engineering
- ETL/ELT
- Data Integration
- Warehousing
- Vector Databases
- Containerization
- DevOps
- MLOps tools
- Docker
- Kubernetes
- Git
- CI/CD
- MLflow
- Airflow
- Spark
- Databricks
- Hadoop
Location
- UK
Work Type
- Full-time
Experience Level
- Previous experience in AI, data science, ML engineering or advanced analytics
- Hands-on experience designing, building and deploying Copilot and/or agentic AI solutions
- Proven experience integrating AI services with enterprise systems
- Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots
- Experience working in agile, cross-functional delivery teams
- Experience with big data and distributed computing
- Experience with containerisation and DevOps/MLOps tools
- Strong experience with data engineering concepts
Education Level
- Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field
- Postgraduate study or certifications in AI, machine learning or data science
- Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials
Benefits
- Flexibility in work arrangements
About the Company
- We believe in building a diverse and inclusive culture and positive employee experience.
- We are One Team, more than just ourselves.
- We are customer first, we understand, and help solve our customers’ problems.
- We Test & Learn, we are empowered to learn and grow, unafraid of change.
- We choose to care, we are committed to doing the right thing, the right way.
- It’s really important to us that we give as much to our colleagues as they give to us.
- Our latest Belonging Survey showed that our colleagues feel valued and listened to as we continue to build an environment where everyone can thrive, grow, belong and be their authentic selves.
- We believe that diversity of thought, experience and background provides the platform for great creativity.
Equal Opportunity
- 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.