AI Engineer - T&I

Responsibilities

Develop and support production-oriented Generative AI solutions, including agents and automation workflows, using approved engineering standards. Integrate AI components with enterprise systems while ensuring measurable quality, safety, and responsible AI practices.

Requirements

Requires a bachelor's degree in Computer Science, Engineering, or Data Science with 0-3 years of relevant experience. Candidates must have working knowledge of Python, REST APIs, SQL, and practical experience with LLMs and cloud-based AI services.

Skills

• Python
• Generative AI
• Azure OpenAI
• RAG
• Prompt Engineering
• REST APIs
• SQL
• Azure AI Search
• Machine Learning
• CI/CD
• Git
• Cloud Security
• Data Engineering
• Software Engineering
• Vector Search

Benefits

• Hybrid work model
• Health and safety initiatives
• Global networking opportunities
• Professional development

About this role

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.

RESPONSIBILITIES

* 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.

QUALIFICATIONS

•    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 platformMicrosoft AzureAI servicesAzure OpenAI, Azure AI Search, Azure AI
Document Intelligence, Azure Machine Learning and approved Azure AI
servicesApplication hostingAzure App Service, Azure Functions and Azure
Kubernetes Service where architecturally approvedData and securityAzure Storage,
Azure Key Vault, SQL and approved NoSQL servicesEngineering lifecycleAzure
DevOps, Git, CI/CD, automated testing, Azure Monitor and approved observability
servicesArchitectureREST 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.
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”.
 

WSP is one of the world's leading professional services consulting firms. We are
dedicated to our local communities and propelled by international brainpower. We
are technical experts and strategic advisors including engineers, technicians,
scientists, architects, planners, surveyors and environmental specialists, as
well as other design, program and construction management professionals. We
design lasting solutions in the Transportation & Infrastructure, Property &
Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors,
as well as offering strategic advisory services. Our talented people around the
globe engineer projects that will help societies grow for lifetimes to come.

With approximately 4,000 talented people across 3 locations (Noida, Bengaluru &
Mumbai offices) in India and more than 73,000 globally, in 550 offices across 40
countries, we engineer projects that will help societies grow for lifetimes to
come.

At “WSP” we draw on the diverse skills and capabilities of our employees
globally to compete for the most exciting and complex projects across the world
and bring the same level of expertise to our local communities. We are proud to
be an international collective of innovative thinkers who work on the most
complex problems. Unified under one strong brand, we use our local expertise,
international reach and global scale to prepare our cities and environments for
the future, connect communities and help societies thrive in built and natural
ecosystems. True to our guiding principles, our business is built on four
cornerstones: Our People, Our Clients, Our Operational Excellence and Our
Expertise.

www.wsp.com [http://www.wsp.com/]

We are

* Passionate people doing purposeful and sustainable work that helps shape our
communities and the future.
* A ...

About WSP

Professional Services · 10,001+ employees · headquartered in Montreal, Quebec