AI Intern USA

AI Engineer Intern AI Center of Excellence (CoE)

Location: Plano Texas USA
Internship Duration: 612 months (12 months preferred)
Company: Black Box
Eligibility: Masters students with at least 6 months remaining before graduation and prior professional experience in applied AI

Company Overview

Black Box Network Services is a leading global communications system integrator specializing in designing sourcing implementing and managing complex technology solutions. As part of our strategic transformation Black Box is expanding itsAI Center of Excellence (CoE) to deliverenterprise-grade AI solutions across multiple business domains.

The AI CoE focuses on buildingscalable secure and production-ready AI systems establishing best practices for enterprise AI adoption and integrating AI capabilities into core business platforms.

Role Summary

As anAI Engineer Intern in the AI Center of Excellence (CoE) you will contribute to the design development and integration of applied AI solutions usingpre-trained Large Language Models (LLMs) traditional machine learning techniques and deterministic approaches.

This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services data pipelines orchestration and user-facing applications. Working closely with experienced AI engineers you will contribute to real-world AI use cases integrated with platforms such asServiceNow SAP Salesforce and Azure services.

This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.

Eligibility Requirements

• Currently pursuing a Masters degree in Engineering or a related field (Computer Science Artificial Intelligence Data Science or similar).
• Must have at least 6 months remaining to complete the Masters program at the time of joining.
• Must have a minimum of 2 years of relevant professional experience between Bachelors and Masters programs.
• Prior experience must include applied AI / Machine Learning with hands-on exposure to Generative AI use cases.
• Available for a full-time on-site internship for a minimum of 612 months (depending on academic program constraints).

Key Responsibilities AI & Generative AI Development

• Build and integrate AI solutions using pre-trained LLMs for conversational AI summarization and enterprise knowledge retrieval.
• Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
• Develop and test AI agents traditional ML models and deterministic logic for real-world use cases.
• Contribute to AI orchestration using LangChain and workflow automation using n8n.

Full-Stack & Enterprise Integration

• Build AI-enabled user interfaces and integrate them with backend services.
• Develop and maintain backend APIs and services.
• Integrate AI solutions with enterprise platforms such as ServiceNow SAP Salesforce and Azure services.

Data Testing & Deployment

• Build and maintain data pipelines including preprocessing and quality checks.
• Support testing debugging deployment and monitoring of AI services on Azure.
• Document AI workflows integrations and solution lifecycle updates.

Learning & Collaboration

• Collaborate with AI data and platform teams to deliver production-ready AI solutions.
• Continuously learn and apply best practices in Generative AI RAG patterns and enterprise AI systems.

Required Technical Skills

• Programming: Strong working knowledge of Python.
• Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
• Generative AI: Practical experience with LLMs prompt engineering and/or RAG-based architectures.
• Backend Development: Experience building APIs using FastAPI Flask or (TypeScript).
• Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
• Data Handling: Experience working with structured and unstructured data including basic preprocessing or ETL.
• APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).

Required Prior Professional Experience

• 2 years of relevant professional experience between Bachelors and Masters programs.
• Experience inapplied AI machine learning or software engineering with AI components.
• Ability to translate AI concepts intoworking prototypes or production-ready solutions.

Required Soft Skills

• Strong learning mindset ownership and clear communication with a structured problem-solving approach.

Preferred Skills / Experience

• Familiarity with NLP concepts and foundational Generative AI models.
• Awareness of responsible AI and basic AI governance concepts.
• Exposure to Microsoft Power Platform or low-code automation tools.

About Black Box

Black Box is a leading technology solutions provider focused on accelerating customer success through innovation ownership transparency and collaboration. With over2500 team members across 24 countries Black Box delivers high-value solutions globally and is a wholly-owned subsidiary ofAGC Networks. Black Box is anequal opportunity employer.