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Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box Eligibility: Master's students with at least 6 ...

Banesco USA

AI Adoption Lead

Miami, FL · On-site

$159K/yr

Job Title AI Adoption Lead Banesco USA is seeking an AI Adoption Lead for our Learning & Development team. Primary Job Duties * Build and deliver comprehensive training, workshops, playbooks, and ...

Scout AI

AI Researcher

Sunnyvale, CA · On-site

The AI Researcher will lead research in areas such as reinforcement learning and multi-agent ... Founded in 2024, the company is headquartered in Sunnyvale, USA, with a team of 11-50 employees.

New

Unconventional AI

AI Systems

Palo Alto, CA · On-site

$123K - $168K/yr

Unconventional AI is a company focused on revolutionizing computing to meet the unprecedented ... Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees.

Prosper AI

AI Product Manager

Manhattan, NY · On-site

Prosper AI is building advanced conversational AI agents for the healthcare industry, with offices ... Founded in 2023, the company is headquartered in New York, USA, with a team of 11-50 employees. The ...

Inworld AI

Product Lead - USA

Mountain View, CA · On-site

They are used to power the largest consumer-facing AI applications available, across categories ... the USA. Your Impact You will lead the development of Inworld's realtime models and products to ...

Scale AI

AI Strategy Consultant, Frontier Tech

Scale AI is focused on developing reliable AI systems for critical decision-making. As an AI ... Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 ...

AI Fund

AI Engineer

Mountain View, CA · On-site

AI Fund is an education technology company focused on empowering the global workforce to build an ... Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees.

Unconventional AI

AI Systems, Training

Palo Alto, CA · On-site

$123K - $168K/yr

Unconventional AI is a company focused on redefining computing to solve the energy limitations of ... Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees.

Scale AI

AI Strategy Consultant, Frontier Tech

Scale AI is focused on developing reliable AI systems for critical decisions, and they are seeking ... Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 ...

Scale AI

AI Strategy Consultant, Frontier Tech

Scale AI is dedicated to developing reliable AI systems for significant decisions and is seeking an ... Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 ...

Coram AI

AI Engineering Manager

Sunnyvale, CA · On-site

Coram AI is reimagining video security for the modern world with a cloud-native platform that ... Founded in 2021, the company is headquartered in Sunnyvale, USA, with a team of 51-200 employees.

ICF

Governance Lead

Baltimore, MD

Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial ...

Broccoli AI

AI Strategy Lead

San Francisco, CA · On-site

The AI Strategy Lead will drive AI value creation across strategic PE-backed growth accounts ... Founded in 2021, the company is headquartered in San Francisco, USA, with a team of 51-200 ...

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Which AI jobs are in demand in the USA?

In the USA, in-demand AI jobs include machine learning engineers, data scientists, AI researchers, and NLP specialists. These roles often require skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and knowledge of data analysis and model deployment. Demand is driven by industries like technology, healthcare, finance, and autonomous systems.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes specialized certifications. Such roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, with compensation reflecting the seniority and expertise involved.

Is AI taking jobs?

AI roles in the USA are transforming the job market by automating routine tasks and enhancing productivity across industries. While some jobs may be displaced, new opportunities are emerging for AI specialists, data scientists, and machine learning engineers who develop and manage AI systems. Adapting skills in programming, data analysis, and AI tools is important for those seeking employment in this field.

What is the salary for AI in the USA?

The salary for an AI professional in the USA varies based on experience, location, and role, but typically ranges from $80,000 to over $150,000 annually. Entry-level positions may start around $80,000, while experienced AI engineers or specialists can earn over $150,000, especially in tech hubs. Skills in machine learning, deep learning, and proficiency with tools like Python and TensorFlow are often required.

What are AI USA jobs?

AI USA jobs refer to positions in the United States focused on artificial intelligence (AI) technology and its applications. These roles can include AI researchers, machine learning engineers, data scientists, AI product managers, and software developers specializing in AI. Professionals in these positions work on developing, implementing, and maintaining AI systems across various industries such as healthcare, finance, and technology. The demand for AI talent in the USA is rapidly growing as organizations increasingly adopt AI solutions to improve efficiency and innovation.

How does an AI USA professional typically collaborate with cross-functional teams to implement AI solutions?

AI USA professionals often work closely with data scientists, software engineers, and product managers to design and deploy AI solutions tailored to business needs. Collaboration involves regular meetings to align on project goals, troubleshooting technical challenges, and ensuring that AI models are integrated seamlessly into existing systems. Effective communication is key, as team members may have varying levels of AI expertise. This collaborative approach helps ensure that AI initiatives are both technically sound and aligned with organizational objectives.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) Engineer in the USA, and why are they important?

To thrive as an AI Engineer in the USA, you need a strong background in mathematics, computer science, and machine learning, often supported by a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, TensorFlow, PyTorch, and experience with data analysis tools are typically required, along with certifications in AI or machine learning. Critical thinking, creativity, and effective communication are essential soft skills for problem-solving and collaborating with cross-functional teams. These skills are crucial for developing innovative AI solutions and ensuring their successful deployment in real-world applications.
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AI Engineer Intern - USA

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Posted 5 days ago

Key responsibilities

  • Build and integrate AI solutions using pre-trained LLMs, traditional machine learning techniques, and deterministic approaches for real-world use cases.

  • Develop, test, and maintain AI agents, backend services, data pipelines, and user interfaces, and integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.

  • Support testing, debugging, deployment, and monitoring of AI services, and document AI workflows and integrations.

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
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
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 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 Summary
As 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 Requirements
  • Currently 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).
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 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).
Required Prior Professional Experience
  • 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.
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 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.

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