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About the Role

Parsons is seeking an ITS Engineer specializing in AI & NLP to support the development, integration, testing, validation, and deployment of AI, ML, NLP, Generative AI, and Decision Support applications within the Advanced Traffic Management System (ATMS). This role involves overseeing AI-enabled traffic management functions, predictive analytics, incident detection, traffic forecasting, operator assistance tools, chatbot 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.

Responsibilities

Support and supervise ITS design input, specification compliance, installation, testing, and integration across major infrastructure projects.
Review and recommend approval of FSDDs, shop drawings, material submittents, method statements, and test plans.
Coordinate 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.
Prepare and close punch lists prior to handover.
Maintain accurate documentation of approvals, changes, correspondence, and photographic records.
Support the Resident Engineer with variations, claims, as-built verification, O&M documentation, and final system commissioning.
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.

Requirements

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.
Strong understanding of Artificial Intelligence and Machine Learning technologies.
Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLM).
Strong understanding of Predictive analytics and forecasting systems.
Strong understanding of Intelligent Decision Support Systems.
Strong understanding of Data science methodologies and model lifecycle management.
Strong understanding of Data architecture, data governance, and data quality management.
Strong understanding of Enterprise software architecture and system integration.
Strong understanding of API integrations, databases, and cloud-based environments.
Strong understanding of MLOps, model training, deployment, monitoring, and version control.
Strong understanding of AI explainability, model validation, and performance measurement.
Strong understanding of Cybersecurity and secure AI implementation practices.
Strong understanding of 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.

Skills

AI
ML
NLP
Generative AI
Decision Support
ATMS
Predictive Analytics
Incident Detection
Traffic Forecasting
Operator Assistance Tools
Chatbot
Virtual Assistant
Knowledge Management
Business Intelligence
System Design
Algorithms
Data Architecture
Training Methodologies
Model Validation
Cybersecurity
ITS Systems
FSDDs
Shop Drawings
Material Submittals
Method Statements
Test Plans
FAT
SAT
OTDR Fiber Tests
Communication Tests
Power Tests
Reliability Testing
O&M Documentation
Commissioning
Large Language Models (LLM)
Data Models
AI Governance
Model Development Methodologies
Integration Designs
AI Integration
Testing Plans
Performance Testing
User Acceptance Testing
Explainability Assessments
Contract Compliance
Data Governance
AI Platforms
NLP Engines
Data Analytics Environments
Traffic Prediction
Congestion Analytics
Operational Recommendations
Automated Reporting
Asset Analytics
Performance Monitoring
Traffic Databases
Field ITS Devices
Video Analytics Systems
C-ITS Platforms
Enterprise Systems
External Data Sources
Data Quality
Training Datasets
Model Performance Metrics
Accuracy Reports
Bias Assessments
Model Improvement
Model Demonstrations
Prototype Evaluations
Proof-of-Concept
Validation Exercises
Operational Readiness Testing
Variation Orders
Change Orders
Software Enhancements
System Modifications
Issue Logs
Corrective Action Reports
Model Retraining Plans
Deployment Roadmaps
Operational Support Procedures
Release Management
Model Version Control
Rollback Procedures
Business Continuity
Technical Comments
Meeting Records
Status Logs
Issue Resolution
As-built Documentation
Model Documentation
Data Dictionaries
Administrator Manuals
Operating Procedures
Training Materials
Handover Documentation
Software Systems
Digital Transformation
Data Science
Advanced Analytics
Model Lifecycle Management
Enterprise Software Architecture
System Integration
API Integrations
Databases
Cloud-Based Environments
MLOps
Model Training
Model Deployment
Model Monitoring
Version Control
AI Explainability
Model Validation
Performance Measurement
Secure AI Implementation
Traffic Management Operations
ITS Business Processes
Transportation Management
Smart City
Mobility
Operational Technology
Business Intelligence Platforms
Data Visualization
Dashboard Development
Reporting Solutions
AI-enabled Video Analytics
Transportation Analytics
Cloud Computing
Virtualized Computing
Hybrid Computing
Stakeholder Management
Technical Review
RTA ITS Systems
RTA ATMS Platforms

Location

Remote

Work Type

Full-time

Experience Level

Minimum 7 years of experience
Minimum 3 years of experience

Education Level

Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Information Technology, or related discipline from an accredited institution.

Benefits

Endless growth opportunities

About the Company

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 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/.

Equal Opportunity

Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.