AI Engineer: Turn Ideas into Real-World AI in Azure

Aimlroles; Cambridge; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

WSP is forming an AI Accelerator team and seeks an AI Engineer to design and build prototype AI solutions within Azure cloud environments. You will collaborate with UK & Ireland experts to turn real-world problems into technical AI solutions and pilot translations into production deployments.

You will contribute to the Data & Decision Science function and work on client-focused AI initiatives across market sectors, shaping the future of AI at WSP.

Qualifications

• Proven experience in designing and developing AI solutions, preferably in cloud environments such as Azure.
• Experience with Azure AI technologies such as Azure AI Foundry.
• Experience working with LLMs and Agentic AI on real-world problems.
• Strong understanding of machine learning algorithms and NLP techniques.
• Strong interpersonal skills and ability to work with cross-functional teams.

Responsibilities

• Design and build prototype AI solutions in the AI Accelerator team.
• Collaborate with WSP UK & Ireland experts to translate business problems into technical AI solutions.
• Prototype deployments that are transitioned to full-scale deployments.

Skills

AI design

LLMs & Agentic AI

NLP techniques

Azure cloud

Collaboration

Production deployment

Tools

Azure AI Foundry

LLMs deployment

Production tooling

Job description

WSP is forming an AI Accelerator team and seeks an AI Engineer to design and build prototype AI solutions within Azure cloud environments. You will collaborate with UK & Ireland experts to turn real-world problems into technical AI solutions and pilot translations into production deployments.

You will contribute to the Data & Decision Science function and work on client-focused AI initiatives across market sectors, shaping the future of AI at WSP.