Job Details

Information

Job Title

AI Engineer – Generative AI & Agentic AI

Role

AI Engineer

Company

WSP

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.

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
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.

Develop GenAI applications, agents and automation workflows using approved designs and engineering standards.
Implement retrieval-augmented generation, function calling, structured outputs and prompt patterns to improve solution reliability and usability.
Integrate AI components with enterprise systems, APIs, approved vector search services and governed data sources.
Build and maintain ingestion, chunking, embedding, indexing and retrieval pipelines for structured and unstructured content.
Create evaluation datasets and execute repeatable testing for accuracy, grounding, safety, latency and solution quality.
Apply responsible AI controls including validation, guardrails, content filtering, traceability and human oversight.
Develop clean, reusable and well-documented Python components and participate in code reviews.
Support deployment, monitoring, incident resolution and continuous optimisation of AI solutions.
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.

AI Engineer – Generative AI & Agentic AI

Description

WSP-Aligned Technology Stack

Responsibilities

Requirements

Required Skills

WSP

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