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Metro locations and a reputable global consultancy increase competition, while the role's niche AI+GIS focus limits applicants.
Core AI skills transfer across industries, but GIS and land-services consultancy requirements create moderate domain specificity.
Explicit 7+ years and mandatory Azure/Generative AI deployment experience make shortlisting stringent.
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Design, develop, and deploy AI/ML and Generative AI solutions to solve land, property, GIS, and project delivery challenges for WSP’s Land Services business.
Own AI work packages, delivering production-ready tools integrated with enterprise systems primarily using Azure cloud AI services.
Collaborate across multidisciplinary teams and support AI adoption, mentoring junior engineers, and ensuring solutions meet governance, security, and quality standards.
7+ years hands-on experience in AI/ML solution design and deployment, ideally within infrastructure, consultancy, land/property, GIS or engineering sectors.
Proven expertise in Microsoft Azure AI services including Azure AI Foundry, OpenAI, AI Search and cloud AI solution development.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Software Engineering, or related field.
Work Experience Required: 7+ years in relevant AI/ML engineering roles.
Experienced AI engineer with strong capability in end-to-end AI solution lifecycle on Azure, including MLOps, model evaluation, version control, and deployment in production environments.
Ability to translate complex land/property and GIS business problems into technical AI designs and scalable solutions.
Strong collaboration and communication skills to engage diverse technical and non-technical stakeholders and mentor junior team members.