Graduate Engineer - Integrated Construction Leadership

WSP; Sharjah; On-site; AED 100,000 - 130,000; Full time

Job summary

A leading global engineering firm seeks a motivated Graduate Supervision Engineer to join their team in Sharjah. You will play a key role in transforming supervision processes through AI and data-driven tools, enhance project efficiency, and collaborate across multidisciplinary teams. Candidates should have a bachelor’s degree in engineering and a master's (or near graduation) in a relevant field.

Qualifications

• Bachelor’s degree in aerospace engineering, electronic engineering, or equivalent.
• Master’s degree in AI, data science, engineering, or equivalent.
• Proficiency in AI technologies and data analysis tools.

Responsibilities

• Support the evolution of construction supervision methods.
• Contribute to the implementation of digital tools.
• Conduct in-depth engineering research on AI technologies.

Skills

Analytical thinking

Problem-solving

AI engineering

Collaboration

Data analysis tools

Programming languages (Python, R)

Education

Bachelor’s degree in aerospace or electronic engineering

Master’s degree in AI or data science

Tools

Microsoft Azure Sandbox

Job description

Overview

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.

Graduate Supervision Engineer

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.

Key Responsibilities

• 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.
• Work at the intersection of emerging technologies, innovation, and multidisciplinary project construction delivery, collaborating closely with regional and global teams.
• Help define the future of supervision in construction, ensuring smarter and safer project execution.
• Audit: Assess how we are currently working and identify improvement areas.
• 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.

Qualifications

• A bachelor’s degree in aerospace engineering, electronic engineering, or equivalent qualification.
• Master’s degree in Artificial Intelligence, data science, engineering, or equivalent. Near graduation acceptable.
• Proficiency in AI technologies, data analysis tools, supervised and unsupervised learning, neural networks, deep learning, programming languages such as Python or R and Azure Sandbox.
• Strong analytical and problem‑solving skills with the ability to synthesize complex information.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
• Ability to manage multiple projects and deliverables effectively and efficiently.
• Demonstrated ability to work collaboratively in a multidisciplinary team environment.
• Demonstrated passion for leveraging AI to drive innovation in construction management.