Location: Plano, Texas, USA
Internship Duration: 6–12 months (12 months preferred)
Company: Black Box
Eligibility: Master’s students with at least 6 months remaining before graduation and prior professional experience in applied AI
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 its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role SummaryAs an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-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 as ServiceNow, 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 RequirementsCurrently pursuing a Master’s 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 Master’s program at the time of joining.
Must have a minimum of 2+ years of relevant professional experience between Bachelor’s and Master’s 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 6–12 months (depending on academic program constraints).
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.
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.
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.
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.
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 Node.js (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).
2+ years of relevant professional experience between Bachelor’s and Master’s programs.
Experience in applied AI, machine learning, or software engineering with AI components.
Ability to translate AI concepts into working prototypes or production-ready solutions.
Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
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.
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer.
Skills Required
- Currently pursuing a Master's degree in Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.
- At least 6 months remaining before graduation at the time of joining.
- Minimum 2+ years of relevant professional experience between Bachelor's and Master's programs.
- Prior applied AI or machine learning experience, including hands-on Generative AI exposure.
- Availability for a full-time, on-site internship lasting 6–12 months.
- Strong working knowledge of Python.
- Experience building or integrating machine learning or Generative AI solutions.
- Practical experience with LLMs, prompt engineering, or RAG architectures.
- Backend API development experience using FastAPI, Flask, or Node.js with TypeScript.
- Experience building React-based user interfaces and integrating them with backend APIs.
- Experience working with structured and unstructured data, including preprocessing or ETL.
- Experience consuming REST APIs and familiarity with cloud platforms, preferably Azure.
- Ability to translate AI concepts into working prototypes or production-ready solutions.
- Strong learning mindset, ownership, clear communication, and structured problem-solving skills.
- 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.
Black Box Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Black Box and has not been reviewed or approved by Black Box.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical and prescription drug coverage plus dental and vision plan options. Life and disability protections are also included, along with EAP and emergency travel assistance.
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Leave & Time Off Breadth — Time-off offerings are described as broad, including paid time off, company holidays, floating holidays, and multiple leave types such as jury duty and bereavement leave. Paid time off and benefits are also characterized as “good” in at least one recent account.
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Retirement Support — Retirement and tax-advantaged savings options include a 401(k), FSAs, and an HSA with company contributions. A company match is also cited in one instance, suggesting some employer support for retirement saving.
Black Box Insights
What We Do
Black Box is a global digital infrastructure integrator delivering network and system integration services and solutions, support services, and technology products to businesses in the United States, Europe, India, Asia Pacific, the Middle East, and Latin America and has around 4,000 professionals globally. Black Box has strong service offerings in network integration, digital connectivity infrastructure, data center build-out, modern workplace, and cybersecurity for businesses across various industries including financial services, technology, healthcare, retail, public services like airports; manufacturing, and other sectors.
