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Artificial Intelligence Engineer Intern Jobs in Addison, TX

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global ...

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How much do artificial intelligence engineer intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for artificial intelligence engineer intern in Addison, TX is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.24 per hour, depending on experience, location, and employer.

What does an artificial intelligence engineer intern do?

An Artificial Intelligence (AI) Engineer Intern assists in designing, developing, and testing AI models and algorithms under the guidance of experienced engineers. Their daily tasks may include data preprocessing, training machine learning models, evaluating model performance, and collaborating with team members on various AI projects. Interns often work with programming languages such as Python, and may utilize frameworks like TensorFlow or PyTorch. This role provides hands-on experience in applying AI techniques to real-world problems and helps interns build skills necessary for a career in artificial intelligence.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer intern, and why are they important?

To thrive as an Artificial Intelligence Engineer Intern, you need a strong background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by coursework or relevant projects. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and understanding of version control systems like Git are typically required. Curiosity, critical thinking, and effective communication help interns learn quickly, collaborate with teams, and contribute innovative ideas. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and build a solid foundation for a future career in AI engineering.

What types of projects and collaborations can an artificial intelligence engineer intern expect during their internship?

As an Artificial Intelligence Engineer Intern, you'll likely work on a variety of hands-on projects such as developing machine learning models, assisting with data preprocessing, and supporting the deployment of AI solutions. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers to solve real-world business problems. You’ll gain exposure to production environments, code reviews, and may participate in team meetings or brainstorming sessions. This structure provides valuable experience and networking opportunities, while also allowing you to contribute meaningfully to ongoing projects.
What cities near Addison, TX are hiring for Artificial Intelligence Engineer Intern jobs? Cities near Addison, TX with the most Artificial Intelligence Engineer Intern job openings:
Artificial Intelligence Engineer Intern jobs near you

Senior Artificial Intelligence Data Engineer

Vizient, Inc.

Irving, TX • On-site

$101K - $138K/yr

Full-time

Re-posted 3 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary
In this role, you will help build and enhance a modern, AI-ready data enablement platform that supports cross-domain analytics, governed data products, and reusable engineering patterns across the enterprise. You will enable data producers and analytics teams through guided pathways, reusable accelerators, metadata-driven frameworks, CI/CD patterns, Databricks Asset Bundles, dbt transformation standards, Unity Catalog governance, and Starburst/Trino analytical access. You will focus on helping teams create trusted, governed, reusable, and AI-ready derivative data products that support analytics, reporting, GenAI, semantic search, and emerging agentic platform use cases. As a hands-on senior individual contributor, you will combine platform engineering, data transformation, governance, and enablement to drive scalable and repeatable data product delivery across the organization.
Responsibilities
  • Build and support scalable data engineering solutions using Azure Databricks, PySpark, SQL, Delta Lake, Azure Data Factory, dbt, and Unity Catalog.
  • Improve metadata-driven Azure Data Factory and Databricks patterns for orchestration, configuration, monitoring, restartability, and operational support.
  • Develop reusable accelerators including CI/CD templates, Databricks Asset Bundle patterns, deployment automation, environment configuration, and data product onboarding templates.
  • Design, develop, and support dbt models, macros, tests, documentation, and transformation standards for governed analytical data products.
  • Provide guidance on appropriate technology selection and implementation patterns across dbt, Databricks notebooks and workflows, Delta Live Tables, Spark, and Starburst/Trino.
  • Support cross-domain analytics initiatives by transforming source-refined data into trusted, reusable, business-aligned derivative data products.
  • Leverage Unity Catalog to establish and support governed catalogs, schemas, tables, lineage, access controls, naming standards, and certification practices.
  • Support Starburst/Trino as an analytical and federated query layer for governed enterprise data consumption.
  • Apply Azure DevOps, Git, CI/CD, and Infrastructure as Code (IaC) practices to create repeatable, testable, and environment-aware platform delivery processes.
  • Troubleshoot and resolve production issues related to orchestration, transformations, data quality, access management, query performance, deployments, and operational workflows.
  • Collaborate with data engineering, analytics, platform, governance, and business teams to establish reusable, scalable, and supportable data engineering patterns.
  • Contribute to the evolution of enterprise data engineering standards, governance practices, observability capabilities, and AI-ready data product frameworks.

Qualifications
  • Relevant degree preferred.
  • 5 or more years of hands-on data engineering experience building production-grade data platforms, pipelines, or analytical data products required.
  • Strong experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, Azure Data Factory, SQL, and dbt required.
  • Experience with Azure DevOps, Git, pull request workflows, CI/CD pipelines, and release management practices required.
  • Working knowledge of lakehouse architecture, metadata management, data governance, lineage, access control, and operational support required.
  • Demonstrated ability to function as a senior individual contributor with strong ownership, technical judgment, and cross-functional collaboration skills required.
  • Experience supporting enterprise-scale analytical platforms and governed data product delivery preferred.
  • Experience with Unity Catalog, Starburst/Trino, Pulumi or other Infrastructure as Code tools, Databricks Asset Bundles, Apache Iceberg concepts, and AKS/Kubernetes-based platform operations preferred.
  • Experience building reusable frameworks, accelerators, templates, or platform capabilities for engineering teams preferred.
  • Experience preparing governed structured data for AI/ML, GenAI, Retrieval-Augmented Generation (RAG), semantic search, copilots, or agentic workflows preferred.
  • Experience within healthcare, analytics, supply chain, finance, or other regulated enterprise environments preferred.
  • Strong problem-solving, communication, and collaboration skills with the ability to influence technical direction and establish best practices preferred.
  • You must be authorized to work in the United States without sponsorship.

#LI-JB1
Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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