ITS Engineer (AI & NLP)

About the Role
In a world of possibilities, pursue one with endless opportunities as an ITS Engineer (AI & NLP). In this role, you will support the Resident Engineer in all technical, administrative, and operational aspects related to the development, integration, testing, validation, and deployment of Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Generative AI, and Decision Support applications within the Advanced Traffic Management System (ATMS). You will oversee AI-enabled traffic management functions, predictive analytics, incident detection and classification, traffic forecasting, operator assistance tools, chatbot and virtual assistant capabilities, knowledge management solutions, and AI-driven business intelligence platforms. The position involves reviewing system designs, algorithms, data architectures, training methodologies, model validation processes, cybersecurity requirements, and integration with ATMS and other Intelligent Transportation Systems (ITS) to ensure compliance with project requirements and successful operational deployment.

What You'll Be Doing:

• Support and supervise ITS design input, specification compliance, installation, testing, and integration across major infrastructure projects, ensuring all work meets contractual and technical requirements.
• Review and recommend approval of Functional System Design Documents (FSDDs), shop drawings, material submittals, method statements, and test plans while coordinating the installation of ITS devices, fiber networks, power systems, and related civil foundations.
• Conduct routine site inspections to verify workmanship, safety, and compliance with approved designs.
• Oversee and witness Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), prototype tests, Optical Time-Domain Reflectometry (OTDR) fiber tests, communication and power tests, and reliability testing, preparing and closing punch lists prior to handover.
• Maintain accurate documentation of approvals, changes, correspondence, and photographic records, supporting the Resident Engineer with variations, claims, as-built verification, O&M documentation, and final system commissioning.

Some principal responsibilities include:

• Provide technical supervision of AI, ML, NLP, Large Language Model (LLM), predictive analytics, and decision-support system development and deployment activities.
• Review and recommend approval of AI solution architectures, data models, AI governance plans, model development methodologies, and integration designs.
• Review and approve AI-related integration and testing plans, including model validation, performance testing, user acceptance testing, reliability testing, explainability assessments, and cybersecurity testing.
• Ensure the Contractor's compliance with the Contract Documents, approved AI development methodologies, data governance requirements, cybersecurity requirements, and applicable standards.
• Monitor the development and implementation of AI-enabled traffic management applications, including traffic prediction, incident detection, congestion analytics, operational recommendations, automated reporting, asset analytics, and performance monitoring solutions.
• Coordinate integration activities between AI systems, ATMS platforms, traffic databases, field ITS devices, video analytics systems, Cooperative Intelligent Transportation Systems (C-ITS) platforms, enterprise systems, and external data sources.
• Witness AI model demonstrations, prototype evaluations, proof-of-concept activities, validation exercises, and operational readiness testing.
• Maintain status logs for AI development, integration, testing, deployment, and issue resolution activities.

What Required Skills You'll Bring:

• Minimum 7 years of experience in software systems, intelligent transportation systems, data analytics, artificial intelligence, or digital transformation projects.
• Minimum 3 years of experience in AI, Machine Learning, Data Science, NLP, LLM, Advanced Analytics, or Decision Support System implementation projects.
• Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Information Technology, or related discipline from an accredited institution.
• Strong understanding of:
  • Artificial Intelligence and Machine Learning technologies
  • Natural Language Processing (NLP) and Large Language Models (LLM)
  • Predictive analytics and forecasting systems
  • Intelligent Decision Support Systems
  • Data science methodologies and model lifecycle management
  • Data architecture, data governance, and data quality management
  • Enterprise software architecture and system integration
  • API integrations, databases, and cloud-based environments
  • MLOps, model training, deployment, monitoring, and version control
  • AI explainability, model validation, and performance measurement
  • Cybersecurity and secure AI implementation practices
  • Traffic management operations and ITS business processes
• Strong coordination, stakeholder management, documentation, and technical review capabilities.
• Excellent written and verbal communication skills.
• Professional certifications in AI, Data Science, Cloud Technologies, Analytics, or Systems Engineering are considered an advantage.
• Arabic language capability is a plus.

Contract and Travel Details
The company equally employs representation at all job levels regardless of race, color, religion, sex (including pregnancy), national origin, age, disability, or genetic information.
We invest in and care about our employee's wellbeing and provide endless growth opportunities. Join us and aim for the stars!