Senior AI Engineer – (Land Services)

WSP
Noida
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder engagement","Client relationship skills","Analytical thinking","Problem-solving"]

Design, develop, test, and deploy AI/ML and Generative AI solutions for Land and Property project delivery. Build with Azure AI Foundry, Azure OpenAI, and Azure AI Search, using RAG and agentic AI frameworks to turn land/GIS and business challenges into practical automation, analysis, and decision-support tools. Integrate solutions with enterprise systems, APIs, databases, and data pipelines, while collaborating with Land experts and guiding adoption across UK, Ireland, and India teams.

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FursaFursa
WSP
WSP
1 month ago

Senior AI Engineer – (Land Services)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Design, develop, test, and deploy AI/ML and Generative AI solutions for Land and Property project delivery. Build with Azure AI Foundry, Azure OpenAI, and Azure AI Search, using RAG and agentic AI frameworks to turn land/GIS and business challenges into practical automation, analysis, and decision-support tools. Integrate solutions with enterprise systems, APIs, databases, and data pipelines, while collaborating with Land experts and guiding adoption across UK, Ireland, and India teams.
Location: Noida
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, test, and deploy AI/ML and Generative AI solutions for Land and Property delivery challenges.
  • •Translate business problems into technical solution designs, including prompts, model selection, integration approach, success measures, and deployment considerations.
  • •Build prototypes and production-ready tools for automation, data analysis, document processing, reporting, project controls, land referencing, and stakeholder workflows.
  • •Integrate AI solutions with enterprise systems, APIs, databases, and cloud services; maintain data pipelines and reusable components for AI-enabled solutions.
  • •Collaborate with Land experts and stakeholders, support adoption, and mentor junior team members as needed.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
  • •7+ years’ experience designing, developing, and deploying AI/ML solutions in enterprise or project delivery environments.
  • •Hands-on experience developing and deploying AI solutions in Microsoft Azure environments.
  • •Experience using Azure AI Foundry, Azure OpenAI, Azure AI Search, and related cloud AI services.
  • •Practical understanding of MLOps, version control, monitoring, governance, and deployment of AI solutions into production or controlled environments.
Experience:7+ years
Education:Bachelor's
Skills:CommunicationStakeholder engagementClient relationship skillsAnalytical thinkingProblem-solving
Certifications:Microsoft Certified: Azure AI Engineer Associate (AI-102)Microsoft Certified: Azure Developer Associate (AZ-204)Azure Solutions Architect Expert (AZ-305)Databricks Generative AI Certification
Tech Stack:AI/MLGenerative AIAzureAzure AI FoundryAzure OpenAIAzure AI SearchRetrieval-Augmented Generation (RAG)Agentic AIPythonLangChainSemantic KernelAutoGenLangGraphDatabricksArcGISQGISFMEAPIsDatabasesData pipelines

Company Brief

WSP
Global professional services firm providing engineering, consulting, and technical services across infrastructure, environment, buildings, transportation, and energy sectors for public- and private-sector clients worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Montreal, Canada
Founded: 1959
WebsiteLinkedIn