# Senior Professional, Digital Solutions

**Company**: WSP
**Location**: Noida, Uttar Pradesh
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Consulting

**Apply**: https://emit.fa.ca3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/95830?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_206cec13-d52

## Description

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.

## 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.

## 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.

## Skills

### Required
- Python
- REST APIs
- SQL
- LLMs
- embeddings
- RAG
- prompt engineering
- Azure AI services
- Git-based development
- CI/CD
- cloud security

### Nice to have
- Microsoft Azure
- Azure AI certification
- agentic AI orchestration
- document intelligence
- enterprise search
- MLOps
- model lifecycle management
- production monitoring

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Source: [Apply at emit.fa.ca3.oraclecloud.com](https://emit.fa.ca3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/95830?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)