At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
Job Description:
In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
Parsons is looking for an amazingly talented ITS Engineer (AI & NLP) to join our team! 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). The role includes overseeing 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 requires reviewing system designs, algorithms, data architectures, training methodologies, model validation processes, cybersecurity requirements, and integration with ATMS and other ITS systems 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 works meet contractual and technical requirements. Review and recommend approval of 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 FAT, SAT, prototype tests, 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 of the principal responsibilities the AI & NLP Systems Engineer is required to perform are:
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 Functional System Design Documents (FSDD), 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.
Review and approve technical submittals related to AI platforms, NLP engines, knowledge management systems, LLM integrations, data analytics environments, and decision-support applications.
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, C-ITS platforms, enterprise systems, and external data sources.
Review data quality, training datasets, model performance metrics, accuracy reports, bias assessments, and model improvement recommendations.
Witness AI model demonstrations, prototype evaluations, proof-of-concept activities, validation exercises, and operational readiness testing.
Support the Resident Engineer in evaluating Variation Orders, Change Orders, software enhancements, and system modifications related to AI and data analytics functions.
Review issue logs, corrective action reports, model retraining plans, deployment roadmaps, and operational support procedures.
Monitor AI solution deployment, release management, model version control, rollback procedures, and business continuity provisions.
Attend all AI and NLP related meetings and prepare technical comments, recommendations, and meeting records.
Review correspondence and prepare responses for signature.
Maintain status logs for AI development, integration, testing, deployment, and issue resolution activities.
Provide punch lists and final acceptance recommendations for AI-related deliverables.
Review and approve as-built documentation, model documentation, data dictionaries, administrator manuals, operating procedures, training materials, and final handover documentation.
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
Excellent knowledge of AI integration within transportation management, smart city, mobility, or operational technology environments.
Strong understanding of business intelligence platforms, data visualization, dashboard development, and reporting solutions.
Experience with AI-enabled video analytics, traffic prediction, incident detection, knowledge management systems, or transportation analytics is highly desirable.
Familiarity with cloud, virtualized, and hybrid computing environments.
Experience in supervision of enterprise AI deployment and large-scale software integration projects.
Knowledge of RTA ITS systems, ATMS platforms, and transportation operations is highly desirable.
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.
We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.
Skills Required
- 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 a related discipline.
- Strong understanding of artificial intelligence and machine learning technologies.
- Strong understanding of NLP, LLMs, predictive analytics, forecasting, and intelligent decision-support systems.
- Knowledge of data science methodologies, model lifecycle management, data architecture, data governance, and data quality management.
- Knowledge of enterprise software architecture, system integration, APIs, databases, and cloud-based environments.
- Knowledge of MLOps, model training, deployment, monitoring, and version control.
- Knowledge of AI explainability, model validation, performance measurement, cybersecurity, and secure AI implementation.
- Knowledge of traffic management operations and intelligent transportation systems business processes.
- Experience with AI integration in transportation management, smart city, mobility, or operational technology environments.
- Strong understanding of business intelligence platforms, data visualization, dashboard development, and reporting solutions.
- Experience supervising enterprise AI deployment and large-scale software integration projects.
- Strong coordination, stakeholder management, documentation, technical review, written communication, and verbal communication skills.
- Experience with AI-enabled video analytics, traffic prediction, incident detection, knowledge management systems, or transportation analytics.
- Familiarity with cloud, virtualized, and hybrid computing environments.
- Knowledge of RTA ITS systems, ATMS platforms, and transportation operations.
- Professional certifications in AI, data science, cloud technologies, analytics, or systems engineering.
- Arabic language capability.
Parsons Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parsons Corporation and has not been reviewed or approved by Parsons Corporation.
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Retirement Support — Retirement programs are framed as a major value driver, with an ESOP alongside a 401(k) match and additional stock-purchase options contributing meaningfully to total rewards. This structure is positioned as especially attractive for employees who value long-term wealth-building over immediate cash.
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Healthcare Strength — Health coverage is described as broad and choice-rich, with multiple plan types (PPO, HDHP, and some HMO networks) plus dental, vision, EAP, and wellness resources. The availability of different plan designs and national-carrier coverage supports varied employee needs.
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Leave & Time Off Breadth — Time-off offerings are portrayed as competitive, including PTO, holidays, flexible schedules such as a 9/80 option for eligible roles, and floating holidays in the U.S. Paid parental leave of 160 hours is also highlighted as a meaningful component of the overall package.
Parsons Corporation Insights
What We Do
Parsons is a digitally enabled solutions provider with a focus on making the world safer, smarter, healthier, more sustainable, and more connected. Founded in 1944, Parsons primarily serves the defense, security, and infrastructure markets. Uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services, the corporation delivers state-of-the-art solutions to federal, regional, and local government agencies as well as to private industrial customers worldwide. Parsons has a reputation for inclusion and diversity and has been named to the Ethisphere Institute’s list of World’s Most Ethical Companies for 10 consecutive years. Parsons facilitates a culture of innovation by encouraging collaboration among its employees and providing opportunities for career growth. With offices around the globe, people of varied talents and backgrounds, and a wide range of exciting projects, the possibilities at Parsons are endless. For more about Parsons, visit www.parsons.com. Mission: Delivering innovative infrastructure, defense, and security solutions to enable a more sustainable, safer, smarter, and more connected world.
