WSP is hiring an AI Engineer – T&I for its Bengaluru GCC, with the role also listed for Mumbai and Noida. Candidates with a bachelor’s degree in Computer Science, Engineering, Data Science or a related discipline and 0–3 years of relevant experience can apply, including strong project or internship experience. The role focuses on building production-oriented Generative AI applications, agents, retrieval pipelines and enterprise integrations for WSP’s Middle East AI portfolio. It is worth considering for the opportunity to work with Azure OpenAI, Azure AI Search, Python and governed enterprise AI systems while supporting solutions from prototype through controlled production deployment.
Company Overview
WSP is a global professional services consulting firm working across transportation and infrastructure, property and buildings, earth and environment, power and energy, resources and industry. Its India operations include approximately 4,000 employees across Bengaluru, Mumbai and Noida, while the organisation has more than 73,000 professionals across 40 countries.
The company combines engineering, scientific, architectural, planning, advisory and project delivery expertise on complex projects worldwide. Experience with WSP can add international consulting exposure, enterprise engineering practices and work on technology supporting large-scale infrastructure and built-environment projects.
| Company Name | WSP |
| Job Role | AI Engineer – T&I |
| Qualification | Bachelor’s degree in Computer Science, Engineering, Data Science or a related discipline |
| Salary | Rs. 7-11 LPA (estimated) |
| Job Location | Bangalore |
| Experience | 0–3 years |
| Employment Type | Full-time |
| Category | Off-Campus |
Role Overview
As an AI Engineer, the selected candidate will develop and support Generative AI products for the Middle East AI portfolio from WSP’s GCC. The work covers application development, AI agents, automation workflows, retrieval-augmented generation and secure integration with enterprise platforms.
- Build GenAI applications, agents and automation workflows using approved designs and engineering standards.
- Develop retrieval-augmented generation, function-calling, structured-output and prompt-based solutions.
- Connect AI components with enterprise systems, REST APIs, vector search services and governed data sources.
- Create ingestion, chunking, embedding, indexing and retrieval pipelines for structured and unstructured content.
- Evaluate solution accuracy, grounding, safety, latency and overall quality through repeatable testing.
- Apply responsible AI controls such as validation, guardrails, content filtering, traceability and human oversight.
- Support deployment, monitoring, incident resolution and continuous optimisation of AI solutions.
Eligibility & 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.
- Applicants must be able to work in the Bengaluru, Mumbai or Noida locations listed for the role.
- Employment with WSP India is subject to successful completion of a background verification check conducted by a third-party agency appointed by WSP India.
Key Responsibilities
- Write clean, reusable and well-documented Python components.
- Participate in code reviews and follow WSP’s engineering, architecture, cybersecurity and data protection standards.
- Prepare evaluation datasets and run structured tests to measure AI solution quality.
- Deliver maintainable AI components from prototype stage through controlled production deployment.
- Monitor deployed solutions and contribute to troubleshooting, incident resolution and iterative improvement.
- Develop reusable AI capabilities and engineering patterns for the Middle East portfolio.
- Work with Middle East stakeholders, GCC delivery teams, product owners, engineering specialists and enterprise technology functions.
- Document technical decisions and support transparent delivery reporting across distributed teams.
Skills Required
- Working knowledge of Python, REST APIs, SQL and software engineering fundamentals.
- Practical understanding of Large Language Models, embeddings, RAG, prompt engineering and evaluation methods.
- Exposure to Azure AI services, Git-based development, CI/CD and cloud security principles.
- Familiarity with Azure OpenAI, Azure AI Search, Azure AI Document Intelligence or related approved Azure services is relevant to the role.
- Understanding of automated testing, observability, microservices, event-driven or serverless patterns is useful for the enterprise stack.
- Strong analytical and troubleshooting skills.
- Clear stakeholder communication, documentation and collaboration skills.
- Microsoft Azure or Azure AI certification, agentic AI orchestration, document intelligence, enterprise search, MLOps or model lifecycle knowledge is preferred.
- Experience working in multidisciplinary, agile or globally distributed teams is preferred.
Why Join WSP
This role provides hands-on exposure to WSP’s approved enterprise technology stack, including Microsoft Azure, Azure OpenAI, Azure AI Search, Azure Functions, Azure DevOps, Git, CI/CD and Azure Monitor. The selected candidate will work with teams across regions and contribute to AI capabilities used in a global portfolio, while learning how security, governance, responsible AI and quality controls are applied to production systems.
WSP also describes a flexible hybrid working model and a collaborative environment where employees connect with international specialists, product owners and enterprise technology teams. The role offers a practical route from AI experimentation to governed deployment and ongoing production optimisation.
How to Apply for WSP Off Campus Drive 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
