The AI Development Intern will work within Fluor’s AI Office, supporting the design, development, and deployment of AI-driven solutions across engineering, project delivery, and enterprise operations.
This internship provides hands-on exposure to real-world AI/ML and GenAI systems, including data pipelines, LLM-based applications, and enterprise-scale cloud deployments. The intern will collaborate with senior AI engineers, data engineers, and architects to deliver production-aligned solutions.
The role aligns with Fluor’s AI development model where centralized governance and AI engineering teams execute enterprise AI initiatives.
Assist in building and testing machine learning and AI models for business use cases
Support data preprocessing, feature engineering, and dataset preparation
Work on model evaluation, accuracy checks, and performance tuning
Assist in developing prompt-based workflows and simple AI assistants
Support Retrieval-Augmented Generation (RAG) pipelines and vector-based search
Help integrate AI APIs (e.g., Azure OpenAI) into applications
Work on structured and unstructured data using SQL, Python, and basic ETL pipelines
Assist in building simple APIs or backend services for AI applications
Support data ingestion and transformation workflows in cloud environments
Contribute to frontend/backend modules for AI applications (Angular/.NET/Python – basic level)
Participate in development of internal tools and AI dashboards
Work with cross-functional teams including data engineers, architects, and business SMEs
Participate in code reviews, sprint planning, and agile ceremonies
Document solutions, experiments, and learning outcomes