Graduate Engineer - Integrated Construction Leadership (AI Innovation)

WSP in the Middle East; Sharjah; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading engineering consultancy in Sharjah is seeking a Graduate Supervision Engineer to support AI integration in construction supervision. The role includes conducting research, managing projects, and enhancing efficiency through innovative solutions. Candidates should have a relevant bachelor’s degree and a strong interest in AI technologies. This position offers a chance to develop skills in a collaborative environment and shape future project delivery.

Qualifications

• Bachelor’s degree in aerospace engineering, Electronic Engineering, or equivalent qualification.
• MSc degree in Artificial Intelligence, data science, engineering, or equivalent. Near graduation is acceptable.
• Proficiency in AI technologies, data analysis tools, supervised and unsupervised learning, and deep learning.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to manage multiple projects effectively.
• Demonstrated ability to work collaboratively in a multidisciplinary team environment.
• A keen interest in leveraging AI for innovation.

Responsibilities

• Assess current working methods and identify areas for improvement.
• Conduct in-depth engineering research on the latest AI technologies.
• Collect and analyze data to inform project decisions and AI strategies.
• Assist in managing research projects and ensure timely delivery.
• Integrate AI solutions across all disciplines of projects using Azure.
• Collaborate with stakeholders to understand needs for project success.
• Prepare detailed reports and presentations on research findings.
• Identify innovative solutions to enhance project efficiency.

Skills

Proficiency in Artificial Intelligence technologies

Data analysis tools

Programming languages such as Python or R

Analytical and problem-solving skills

Excellent written and verbal communication skills

Project management skills

Team collaboration

Passion for innovation

Education

Bachelor’s degree in aerospace engineering, Electronic Engineering, or equivalent

MSc degree in Artificial Intelligence, data science, engineering, or equivalent

Tools

Azure Sandbox

Job description

Job Description

At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.

We are looking for a motivated and innovative Graduate Supervision Engineer to join our Integrated Construction Delivery team. This is a unique opportunity to play a key role in the digital transformation of our supervision processes, directly contributing to the modernization and efficiency of project delivery in alignment with our long‑term strategic goals.

As a Graduate Supervision Engineer, you will:

• Support the evolution of our construction supervision methods by applying analytical thinking, problem‑solving, and AI engineering
• Contribute to the implementation of digital tools and data‑driven workflows that enhance efficiency, accuracy, and collaboration across disciplines.

You will be working at the intersection of emerging technologies, innovation, and multidisciplinary project construction delivery, collaborating closely with regional and global teams. This role offers a hands‑on opportunity to help define the future of supervision in construction, ensuring smarter and safer project execution.

Responsibilities

• Audit: Assess how we are currently working and identify areas that the candidate feels they can help us improve and areas they are passionate about seeing active change
• Research and Analysis: Conduct in-depth engineering research on the latest AI technologies and their applications in construction management
• Data Collection: collect and analyse data from various sources to inform project decisions, AI integration strategies and solve complex challenges.
• Project Management: Assist in managing research projects, ensuring timely delivery of milestones and objectives.
• AI Implementation: Work closely with technical teams to integrate AI solutions across all disciplines of the transport and infrastructure projects using Microsoft Azure Sandbox and related tools.
• Stakeholder Engagement: Collaborate with internal and external, regional and global stakeholders to understand needs and ensure successful project outcomes.
• Reporting: Prepare detailed reports and presentations to communicate research findings, project progress, and AI adoption strategies.Innovation: Identify and propose innovative solutions to enhance project efficiency, sustainability, and performance through AI.
• Team Collaboration: Work with our multidisciplinary teams to improve our new digital ways of working.

The candidate will utilize their year with WSP to develop their portfolio, further their AI for engineering knowledge and deliver a number of innovative improvement initiatives that will ensure we become a better, faster more agile business.

Qualifications

• A bachelor’s degree in aerospace engineering, Electronic Engineering, or equivalent qualification.
• Educational Background: MSc degree in Artificial Intelligence, data science, engineering, or equivalent. Near graduation is acceptable.
• Technical Skills: Proficiency in Artificial Intelligence technologies, data analysis tools, supervised and unsupervised learning, neural networks, and deep learning, and programming languages such as Python or R and Azure Sandbox.
• Analytical Skills: Strong analytical and problem‑solving skills with the ability to synthesize complex information.
• Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
• Project Management: Ability to manage multiple projects and deliverables effectively and efficiently.
• Team Collaboration: Demonstrated ability to work collaboratively in a multidisciplinary team environment.
• Passion for Innovation: A keen interest in leveraging AI to drive innovation in construction management.