AI Engineer

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.

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)

A little bit more about us...
 

• 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,

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.

Many of our Colleagues work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.

About our recruitment process….

1. You find or get sent this job advert, read it, and feel like you’re you’d be a great addition to the JCD family.

2. You send in your application to let us know you’re interested.

3. We see your application, get excited, and give you a call.

4. You’ll meet us twice, depending on the role prepare a presentation and we’ll get to know each other.

5. You’ll begin your journey with us, we're excited to support and develop you throughout your career.