ITS Engineer - AI and NLP Systems

Parsons; Dubai; On-site; AED 320,000 - 500,000; Full time

Job summary

Parsons in Dubai, United Arab Emirates seeks an ITS Engineer specializing in AI and NLP systems to support AI-enabled traffic management, predictive analytics, and decision-support deployments within Advanced Traffic Management Systems.

The role emphasizes LLM integration, data governance, MLOps, cybersecurity, and enterprise system integration across on-site ITS environments.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or Information Technology.
• Minimum 7 years of software systems or ITS experience.
• Minimum 3 years in AI, ML, Data Science, NLP, LLM, or Decision Support implementations.
• Strong understanding of AI/ML technologies and NLP/LMM.
• Experience with predictive analytics, data governance, and security considerations.
• Knowledge of data architecture, governance, and data quality management.

Responsibilities

• Provide technical supervision of AI/ML/NLP/LLM projects and associated analytics deployments.
• Review AI solution architectures, data models, governance plans, and integration designs.
• Review AI integration/testing plans including model validation, performance, and security assessments.
• Verify contractor compliance with AI methodologies, governance, and cybersecurity controls.
• Review submittals for AI platforms, NLP engines, and knowledge management systems.
• Monitor AI-enabled traffic management applications including prediction, incident detection, and analytics.
• Coordinate integration between AI solutions and ITS platforms, databases, and enterprise apps.
• Review data quality, training data, model performance metrics, and bias assessments.
• Witness demonstrations, proofs-of-concept, validation exercises, and operational readiness testing.
• Manage deployment, version control, release management, and business continuity provisions.
• Support variation/change orders affecting AI and data analytics functions.
• Maintain status records for AI development, testing, deployment, and issue resolution.
• Prepare technical comments, meeting records, and final acceptance recommendations.
• Review as-built documentation, data dictionaries, and handover records.

Skills

AI technologies

NLP

LLM

Predictive analytics

Data governance

Cybersecurity

APIs

Databases

Cloud environments

MLOps

Education

Bachelors in CS/AI/Data Science

Tools

APIs

Databases

Cloud Platforms

MLOps tools

Job description

Job Snapshot

Role: ITS Engineer - AI and NLP Systems

Location: Dubai, United Arab Emirates

Industry: Civil Engineering

Function: Information Technology

Experience: Minimum 7 years, including minimum 3 years in AI, Machine Learning, Data Science, NLP, LLM, Advanced Analytics, or Decision Support System projects

Job Type: Full-time

Overview

Parsons is hiring an ITS Engineer - AI and NLP Systems in Dubai, United Arab Emirates to support Artificial Intelligence, Machine Learning, Natural Language Processing, Generative AI, and Decision Support applications within Advanced Traffic Management System environments. This on‑site Civil Engineering opportunity combines AI‑enabled traffic management, predictive analytics, intelligent incident detection, LLM integration, data governance, MLOps, cybersecurity, and enterprise system integration to support smarter transportation operations and digital mobility infrastructure.

Job Details

Country: United Arab Emirates

City: Dubai

Industry: Civil Engineering

Function: Information Technology

Salary: Not disclosed

Gender: No Preference

Candidate Nationality: Not specified

Job Type: Full-time

Work Arrangement: On-site

Responsibilities

• Provide technical supervision of AI, ML, NLP, Large Language Model - LLM, predictive analytics, and decision-support system development and deployment.
• Review Functional System Design Documents - FSDD, AI solution architectures, data models, governance plans, model development methodologies, and integration designs.
• Review AI integration and testing plans covering model validation, performance testing, user acceptance testing, reliability testing, explainability assessments, and cybersecurity.
• Verify contractor compliance with contractual requirements, approved AI methodologies, data governance requirements, cybersecurity controls, and applicable standards.
• Review technical submittals for AI platforms, NLP engines, knowledge management systems, LLM integrations, analytics environments, and decision-support applications.
• Monitor AI-enabled traffic management applications covering traffic prediction, incident detection, congestion analytics, operational recommendations, automated reporting, asset analytics, and performance monitoring.
• Coordinate integration between AI solutions, ATMS platforms, traffic databases, field ITS devices, video analytics systems, C-ITS platforms, enterprise applications, and external data sources.
• Review data quality, training datasets, model performance metrics, accuracy reports, bias assessments, and recommendations for model improvement.
• Witness AI model demonstrations, prototype evaluations, proof-of-concept activities, validation exercises, and operational readiness testing.
• Monitor solution deployment, release management, model version control, rollback procedures, and business continuity provisions.
• Review issue logs, corrective action reports, model retraining plans, deployment roadmaps, and operational support procedures.
• Support evaluation of Variation Orders, Change Orders, software enhancements, and modifications affecting AI and data analytics functions.
• Maintain status records covering AI development, integration, testing, deployment, and issue resolution.
• Prepare technical comments, recommendations, meeting records, punch lists, and final acceptance recommendations.
• Review as-built documentation, model documentation, data dictionaries, administrator manuals, operating procedures, training materials, and final handover records.

ITS Integration and Site Support

• Support ITS design reviews and verify specification compliance across major infrastructure projects.
• Review FSDDs, shop drawings, material submittals, method statements, and test plans.
• Coordinate installation activities involving ITS devices, fiber networks, electrical power systems, and associated civil foundations.
• Conduct site inspections to verify workmanship, safety, and compliance with approved designs.
• Witness FAT, SAT, prototype testing, OTDR fiber testing, communications testing, power testing, and reliability testing.
• Prepare and close punch lists before final handover.
• Maintain records of approvals, changes, correspondence, and site photographs.
• Support variation and claims reviews, as-built verification, O&M documentation, and final system commissioning.

What Required Skills You 'LL Bring

• Bachelor 's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Information Technology, or a related discipline from an accredited institution.
• 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.
• Strong understanding of Artificial Intelligence and Machine Learning technologies.
• Knowledge of Natural Language Processing and Large Language Models.
• Experience with predictive analytics and forecasting systems.
• Understanding of intelligent Decision Support Systems.
• Knowledge of data science methodologies and model lifecycle management.
• Understanding of data architecture, governance, and data quality management.
• Knowledge of enterprise software architecture and system integration.
• Experience with APIs, databases, and cloud‑based environments.
• Understanding of MLOps, including model training, deployment, monitoring, and version control.
• Knowledge of AI explainability, model validation, and performance measurement.
• Understanding of cybersecurity and secure AI implementation practices.
• Knowledge of traffic management operations and ITS business processes.
• Strong understanding of business intelligence platforms, data visualization, dashboards, and reporting solutions.
• Familiarity with cloud, virtualized, and hybrid computing environments.
• Experience supervising enterprise AI deployments and large‑scale software integration projects.
• Strong stakeholder coordination, documentation, and technical review capabilities.
• Excellent written and verbal communication skills.

Preferred Technical Experience

• Experience with AI‑enabled video analytics, traffic prediction, incident detection, transportation analytics, or knowledge management systems is highly desirable.
• Knowledge of RTA ITS systems, ATMS platforms, and transportation operations is also highly desirable.
• Professional certifications covering AI, Data Science, Cloud Technologies, Analytics, or Systems Engineering are considered an advantage.
• Arabic language capability is a plus.

AI‑Driven Transportation Systems Focus

This position connects advanced AI engineering with real‑world intelligent transportation operations. The ITS Engineer will help ensure that predictive models, NLP and LLM applications, analytics platforms, decision‑support tools, and intelligent automation capabilities are technically validated and successfully integrated with the wider ATMS and ITS ecosystem. The role also requires attention to the complete AI lifecycle, including training data quality, model performance, bias assessment, explainability, cybersecurity, deployment controls, monitoring, retraining, version management, and operational continuity.

About the Company

Parsons Corporation operates across engineering, infrastructure, transportation, and project delivery. This Dubai-based ITS Engineer position applies AI, Machine Learning, NLP, data analytics, and systems integration expertise to intelligent transportation and advanced traffic management environments.