Principal Full Stack AI Engineer
WSP
Principal Full Stack AI Engineer
WSP
Plans and designs infrastructure projects
WSP is seeking a Senior/Principal Full-Stack AI Engineer to serve as a senior engineering resource for the Middle East AI delivery team, based in the Bengaluru GCC. The role will design and build scalable enterprise applications across front-end, back-end, API and AI integration layers, taking solutions from technical design through production operation.
Required Experience and Qualifications
Bachelor’s degree in computer science, Engineering or a related discipline.
7+ years of full-stack software engineering experience, including delivery of enterprise applications to production.
Strong experience with React or Angular and backend development using Python, C#/.NET or Node.js/TypeScript.
Demonstrated experience with REST APIs, microservices, authentication, authorization and secure coding practices.
Hands-on experience with Microsoft Azure application services, data services, Key Vault, monitoring and Azure DevOps.
Experience integrating LLM-based services, RAG or enterprise search into application workflows.
Ability to lead technical delivery, troubleshoot complex issues and communicate design decisions to technical and non-technical stakeholders.
WSP-Aligned Technology Stack
The role will use and support the approved enterprise stack below. Equivalent technologies may be considered only where formally approved through WSP architecture, security and governance processes.
| Cloud platform | Microsoft Azure |
| AI services | Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning and approved Azure AI services |
| Application hosting | Azure App Service, Azure Functions and Azure Kubernetes Service where architecturally approved |
| Data and security | Azure Storage, Azure Key Vault, SQL and approved NoSQL services |
| Engineering lifecycle | Azure DevOps, Git, CI/CD, automated testing, Azure Monitor and approved observability services |
| Architecture | REST APIs, microservices, event-driven and serverless patterns, secure API-first integration |
Expected Outcomes
Deliver secure, scalable and supportable AI-enabled applications from design through production.
Improve engineering quality through reusable architecture, automated testing, code review and observability.
Provide senior technical leadership and reduce delivery risk across the AI product portfolio.
Preferred Qualifications
Ways of Working
• Collaborate effectively with Middle East stakeholders, GCC delivery teams, product owners, engineering specialists and enterprise technology functions.
• Work within WSP standards for architecture, cybersecurity, data protection, responsible AI, quality assurance and delivery governance.
• Communicate clearly, document decisions and support transparent delivery reporting across distributed teams.
BGV:
Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.
Design, develop and maintain production-grade applications across front-end and back-end layers in line with approved architecture and design standards.
Build responsive user experiences using approved modern web frameworks and accessible design practices.
Develop secure backend services, APIs, microservices and enterprise system connectors using approved languages and Azure services.
Integrate Azure OpenAI, Azure AI Search and related approved AI capabilities into business applications.
Provide technical leadership across system design, coding standards, reviews, testing, release readiness and defect resolution.
Implement unit, integration and automated tests to reduce regression and improve application reliability.
Contribute to CI/CD, infrastructure configuration, deployment, monitoring and post-release support using Azure DevOps.
Work with product, QA, architecture, security and business specialists to translate requirements into maintainable solutions.
Mentor engineers and help establish reusable patterns for enterprise AI application delivery.
WSP is an engineering and science consultancy that helps governments and businesses plan, design, and manage infrastructure. Its teams work on transport networks, buildings, water systems, power facilities, and environmental projects, combining engineers with scientists, planners, and technical advisers. Services include feasibility studies, detailed design, environmental assessments, and project management, with specialists supporting assets through construction and operation. Clients pay through contracts priced by staff time, agreed project fees, or a share of project costs. Genivar reorganized as WSP Global in 2014, and the group is headquartered in Montreal, Quebec.
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