Senior AI Engineer, Digital Solutions
- Compensation
- Not disclosed
- Location
- Noida, Uttar Pradesh, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Ai engineering
- Posted
Skills
Full description
WSP is seeking a Senior 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.
- 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.
- 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, authorisation 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.
Front endReact or Angular, TypeScript, HTML and CSSBack endPython, C#/.NET or Node.js/TypeScriptCloud platformMicrosoft AzureAzure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning and approved Azure AI servicesAzure App Service, Azure Functions and Azure Kubernetes Service where architecturally approvedAzure Storage, Azure Key Vault, SQL and approved NoSQL servicesAzure DevOps, Git, CI/CD, automated testing, Azure Monitor and approved observability servicesREST APIs, microservices, event-driven and serverless patterns, secure API-first integration