AI Engineer - Azure / C# .NET or Python

What you'll work on

We are seeking a capable and solutions‑focused AI Engineer to join our growing AI Team. This role blends Generative AI, Machine Learning (ML), Microsoft-centric software engineering, and integration, and is suited to someone who has delivered AI-powered solutions and is ready to deepen their expertise in an enterprise environment.

You will work across Azure, M365, Copilot, Copilot Studio, Databricks, and modern engineering frameworks to deliver production-grade AI services under agreed architecture and security standards. The role includes hands-on experimentation and rapid proof‑of‑concept (PoC) development, with guidance from senior engineers on governance, risk, and best practice. You will help scale AI safely and sustainably across our property and legal services domain.

We can offer the successful candidate mentorship from Senior AI colleagues, support in architecture and governance, and opportunity to deepen Azure AI / Copilot / ML expertise.

*Key Responsibilities

AI & GenAI Engineering**

• Build and enhance GenAI solutions using Azure OpenAI, Azure AI Services, and Copilot extensibility, following agreed patterns.

• Implement RAG architectures (vector retrieval, embeddings, prompt strategies) with secure LLM integrations.

• Build conversational assistants and workflow automations using Copilot Studio and the Power Platform.

• Contribute to experimentation, prototyping, and PoC development to evaluate AI capabilities and feasibility.

• Support evaluation and integration of third‑party AI tools or APIs where required, working with the team to meet governance and security requirements.

What we're looking for

• Hands-on experience building solutions with Azure AI Services and integrating them into applications and/or data solutions.
• Working knowledge of Azure OpenAI and common GenAI patterns (prompting, evaluation, basic RAG).
• Some experience with ML delivery (training, packaging, deployment, monitoring) in a live environment.
• Proficiency in either C#/.NET or Python, plus SQL fundamentals.
• Understanding of vector search concepts (embeddings, chunking, retrieval) and secure API integration.
• Experience using Git-based workflows and CI/CD pipelines (e.g., GitHub or Azure DevOps).
• Strong communication and problem-solving skills, including clear technical documentation

Whilst not essential, we are especially keen to hear from candidates who can demonstrate knowledge and experience in one or more of the following areas: building RAG solutions end to end and improving answer quality; Copilot Studio connectors/actions and Power Platform ALM; Databricks, Fabric, or Azure ML in a delivery setting; working knowledge of infrastructure-as-code and cloud deployment practices; understanding of REST API design and microservices patterns; awarness of emerging agent patterns ie, MCP/structured agentic architectures; and/or relevant certifications such as Azure AI Engineer Associate, Azure Data Scientist Associate, Power Platform Developer or Solution Architect, Databricks ML or Generative AI certifications, or Emerging AI and AI Solution certifications.

Interview process

You’ve checked out our job ad

It’s gathered your interest and you’ve applied using our easy application process

If shortlisted you will attend a first stage interview via Microsoft Teams

If all goes well, a final stage interview may follow

If successful, we make the offer and get the ball rolling

After joining us you can recommend friends to join us too, earning a referral bonus for each successful appointment!