AI Engineer (Advisory)

WSP Group; Cambridge; Hybrid; GBP 58,000 - 98,000; Full time

Benefits offered by this job

Thrive wellbeing programme

Flexible time arrangements

Mentoring and Chartership

Job summary

WSP is seeking an AI Engineer to join the AI Accelerator team in Cambridge. You will help shape our global digital strategy by designing prototype AI solutions and deploying them in Azure cloud environments.

Collaborate with WSP UK and Ireland, turn prototypes into production deployments, and work within the Data & Decision Science function to deliver client-ready AI services across market sectors.

Qualifications

• Proven experience in designing and developing AI solutions, preferably in Azure.
• Experience with Azure-based AI technologies such as Azure AI Foundry.
• Experience working with LLMs and Agentic AI on real-world problems.
• Strong understanding of ML algorithms and NLP techniques.
• Strong collaboration across cross-functional teams translating business problems to technical solutions.
• Experience deploying AI models into production.
• Excellent problem-solving and passion for AI innovation.

Responsibilities

• Join the newly established AI Accelerator team to shape digital strategy.
• Collaborate with experts across WSP UK and Ireland to design prototype AI solutions for real-world challenges.
• Transition successful prototypes into full-scale deployments that improve operations.
• Work within our wider Data & Decision Science function in Transformation and Digital Insights.
• Deliver impactful bespoke AI solutions to internal stakeholders in our Azure cloud environments.
• Work closely with consultancy teams to understand business needs and identify opportunities to leverage AI for transformation.
• Partner with clients across the market sectors we serve and turn ideas into practical solutions.

Skills

AI solution design

Azure cloud

LLMs & Agentic AI

Machine learning

NLP techniques

Cross-functional collaboration

Production deployment

Tools

Azure AI Foundry

REST

Cloud platforms

Job description

Salary: £58,000 - 98,000 per year

Requirements:

• Proven experience in designing and developing AI solutions, preferably within cloud environments such as Azure.
• Experience with Azure-based 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 natural language processing techniques.
• Strong interpersonal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions.
• Experience deploying AI models into production environments.
• Excellent problem-solving skills and a passion for innovation in AI technologies.

Responsibilities:

• Join our newly established AI Accelerator team as an AI Engineer and help shape our global digital strategy.
• Collaborate with experts across WSP UK and Ireland to design and build prototype AI solutions for real-world challenges.
• Transition successful prototypes into full-scale deployments that improve how we operate and the services we deliver to our clients.
• Work within our wider Data & Decision Science function in the Transformation and Digital Insights team.
• Deliver impactful bespoke AI solutions to internal stakeholders in our Azure cloud environments.
• Work closely with our consultancy teams to understand their business needs and identify opportunities to leverage AI for transformation.
• Partner with our clients across the market sectors we serve.
• Turn ideas into practical solutions and put them into everyday use.

Technologies:

• Agentic AI
• AI
• Azure
• Cloud
• Support
• Machine Learning
• REST

More:

We are WSP, one of the worlds leading engineering and professional services firms, with more than 69,000 employees globally and over 11,000 professionals across the UK and Ireland. We are driven by a purpose of creating positive, long-lasting impacts on the communities we serve through innovation, integrity, and inclusion. This is a full-time role based within our AI Accelerator team, working in a hybrid model with two days a week from home and the rest in our modern UK offices. We offer a strong focus on work-life balance, inclusivity and belonging, health and wellbeing support through our Thrive programme, flexible time arrangements including our WSP My Hour, and ongoing development through training, mentoring, and Chartership opportunities.

last updated 36 week of 2026