Intermediate Professional, Digital Solutions

WSP is seeking an AI Engineer to develop and support production-oriented Generative AI solutions for the Middle East AI portfolio from the Bengaluru GCC. The role will work across AI products, agents, automation workflows and enterprise integrations, with emphasis on secure engineering, measurable quality and responsible AI. • Bachelor’s degree in Computer Science, Engineering, Data Science or a related discipline. • 0–3 years of relevant software, data or AI engineering experience, including internships or strong project experience. • Working knowledge of Python, REST APIs, SQL and software engineering fundamentals. • Practical understanding of LLMs, embeddings, RAG, prompt engineering and evaluation methods. • Exposure to Azure AI services, Git-based development, CI/CD and cloud security principles. • Strong analytical, troubleshooting, documentation and stakeholder communication skills. 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 maintainable AI components that progress from prototype through controlled production deployment. • Improve solution quality through structured evaluation, monitoring and iterative optimisation. • Contribute to reusable AI capabilities and patterns across the Middle East portfolio. Preferred Qualifications • Microsoft Azure or Azure AI certification. • Experience with agentic AI orchestration, document intelligence or enterprise search. • Knowledge of MLOps, model lifecycle management and production monitoring. • Experience working in multi-disciplinary, agile or globally distributed teams. 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”.