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Ai Solutions Intern Jobs (NOW HIRING)

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications ...

Phytogenx Incorporated

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

We are seeking a motivated AI Intern to support focused artificial intelligence and automation ... You will work closely with engineering, operations, and quality teams to prototype AI solutions ...

ECS

BD & AI Analysis Intern

Fairfax, VA · On-site

The successful prospective intern will be able to understand the nexus of business and computer science and will collaborate with team members to identify opportunities for incorporating AI solutions ...

DivcoWest

AI Intern

San Francisco, CA

$20 - $30/hr

Summary The AI Intern will join the Technology team to design and implement intelligent solutions that make work smoother, smarter, and more efficient across the organization. Working closely with ...

Tronox

AI Intern

Hamilton, MS · On-site

$11.75 - $15.75/hr

Tronox is looking for a forward-thinking AI Intern to contribute to the development of intelligent ... This internship focuses on the end-to-end development of machine learning solutions, including data ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, with a focus on Generative AI, Retrieval ...

Reveleer

AI & Workflow Innovation Intern

Glendale, CA · Hybrid

$25/hr

AI & Workflow Innovation Intern Location: Glendale, CA (Hybrid/Onsite) Duration: 20-40 pre ... With one transformative solution, the Reveleer platform enables plans to independently execute and ...

Gaf

AI Intern

Parsippany, NJ · On-site

$15 - $20/hr

This intern will assist with the development, testing, and deployment of machine learning models ... Develop and prototype AI/ML solutions for specific business needs using Python, standard ML ...

Athenago

AI Engineering Intern

Wilmington, DE

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Communicate technical findings and iterate on solutions based on user feedback. Qualifications

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is ... Contribute to repeatable, documented workflows for building and deploying AI solutions.

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Communicate technical findings and iterate on solutions based on user feedback. Qualifications

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Ai Solutions Intern information

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How much do ai solutions intern jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for ai solutions intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does an AI Solutions Intern do?

An AI Solutions Intern assists in developing, testing, and implementing artificial intelligence models and solutions under the supervision of experienced engineers or data scientists. Their responsibilities may include data preprocessing, building machine learning models, analyzing data, and documenting results. They often collaborate with cross-functional teams to support various AI-driven projects, gaining hands-on experience with real-world data and business problems. This role provides valuable exposure to the latest AI technologies and tools, helping interns build essential skills for a career in artificial intelligence.

What types of projects do AI Solutions Interns typically work on, and how are these projects structured within the team?

AI Solutions Interns usually engage in hands-on projects such as building machine learning models, analyzing large datasets, or developing automation tools to solve real business problems. Projects are often structured collaboratively, with interns working alongside data scientists, software engineers, and project managers. Regular check-ins, code reviews, and mentorship sessions are common, providing guidance and feedback. This structure not only helps interns develop technical skills but also exposes them to the workflow and communication practices of AI teams in a professional setting.

What is the difference between Ai Solutions Intern vs Data Analyst Intern?

AspectAi Solutions InternData Analyst Intern
Required CredentialsBasic knowledge of AI, programming, and data scienceStatistical skills, data analysis, and Excel proficiency
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare sectors
Employer & Industry UsageAI development projects, machine learning applicationsData reporting, visualization, and insights generation

Ai Solutions Interns focus on developing and implementing AI models, requiring programming and machine learning knowledge. Data Analyst Interns analyze data to generate reports and insights, often using statistical tools. Both roles are common in tech and business sectors, but they differ in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an AI Solutions Intern, and why are they important?

To thrive as an AI Solutions Intern, you need a solid understanding of programming (especially Python), machine learning fundamentals, and data analysis, often demonstrated through coursework or relevant internships. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as exposure to cloud platforms and version control tools, is typically expected. Strong problem-solving skills, teamwork, and effective communication help you collaborate and learn quickly in dynamic environments. These skills and qualities are crucial for contributing to real-world AI projects, adapting to new technologies, and delivering innovative solutions as part of a technical team.
More about Ai Solutions Intern jobs
What cities are hiring for Ai Solutions Intern jobs? Cities with the most Ai Solutions Intern job openings:
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What job categories do people searching Ai Solutions Intern jobs look for? The top searched job categories for Ai Solutions Intern jobs are:
Ai Solutions Intern jobs near you
Infographic showing various Ai Solutions Intern job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 59% Full Time, 21% Part Time, 18% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
AI Intern

AI Intern

SWBC

San Antonio, TX • On-site

$13.50 - $18/hr

Part-time

Medical, Retirement

Posted 21 days ago

SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study.
We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment. The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained.
Why you'll love this role:
As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family.
Essential duties include the following:
  • Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).
  • Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.
  • Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.
  • Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling.
  • Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.
  • Help document designs, experiments, and results; contribute to team standards and best practices.
  • Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

Serious candidates will possess the minimum qualifications:
  • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).
  • Expected graduation date of December 2026 or later.
  • Some hands-on experience with: Python (e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics)
  • Familiarity with at least one of the following: AWS (e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows
  • Strong communication skills and ability to work effectively in a corporate, cross-functional environment.
  • Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).
  • Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails
  • Familiarity with containerization (Docker) and orchestration concepts.
  • Understanding of software engineering fundamentals (unit tests, code reviews, documentation).
  • Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).
  • Contribute to repeatable, documented workflows for building and deploying AI solutions.
  • Collaborate effectively with the team and communicate progress clearly.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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