1

Ai Developer Internship Jobs in Texas (NOW HIRING)

Internship (Full-Time / Part-Time) Duration: 3-6 Months (Extendable) About the Role We are looking for a motivated AI/ML Engineer Intern to join our engineering team. You will work on developing ...

Showing results 21-40

Ai Developer Internship information

What types of projects can an AI developer intern expect to work on during their internship?

As an AI Developer Intern, you can expect to work on a variety of projects that may include building and testing machine learning models, assisting with data preprocessing, and contributing to the development of AI-powered applications. Interns often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to the full lifecycle of AI solutions. These projects are designed to give hands-on experience with real-world datasets and modern AI frameworks, while also helping you develop practical coding and problem-solving skills relevant to the industry.

What is an AI developer internship?

An AI Developer Internship is a temporary position designed for students or recent graduates to gain practical experience in artificial intelligence development. Interns typically work on projects involving machine learning, data analysis, and software engineering under the supervision of experienced AI professionals. The internship provides hands-on experience with AI tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. It is an excellent opportunity to apply academic knowledge to real-world challenges and build a foundation for a future career in AI.

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

To thrive as an AI Developer Intern, you need a strong grasp of programming languages like Python, foundational knowledge in machine learning, and relevant coursework in computer science or data science. Familiarity with tools such as TensorFlow, PyTorch, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help interns contribute meaningfully to team projects. These skills and qualities are essential for quickly learning, implementing AI models, and collaborating within fast-paced development environments.
What are the most commonly searched types of Ai Developer jobs in Texas? The most popular types of Ai Developer jobs in Texas are:
What cities in Texas are hiring for Ai Developer Internship jobs? Cities in Texas with the most Ai Developer Internship job openings:
Infographic showing various Ai Developer Internship job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Associate AI Solutions Developer

Bridgehead IT

San Antonio, TX • On-site

Full-time

Re-posted 16 days ago


Job description

Job Type
Full-time
Description
The Associate AI Solutions Developer / Analyst supports the design, development, and implementation of AI-enabled software, automation, and business solutions. This hybrid role combines technical development, business analysis, and AI tool configuration, working closely with senior developers and analysts to translate business needs into practical, secure, and scalable solutions.
The role is designed for an early-career professional with strong technical fundamentals, analytical aptitude, and a demonstrated interest in artificial intelligence and emerging technologies. The Associate will contribute across the solution lifecycle-from requirements gathering and prototyping through testing, deployment, and refinement-while receiving structured training and mentorship. This position offers a defined growth path with increasing responsibility and project ownership, with the expectation of progression to a mid-level role within 12-24 months.
Training & Growth
We invest in your success with structured onboarding, personalized mentorship, an individual development plan, and continuous learning opportunities (courses, certifications, AI webinars). Your entering a rapidly growing space that will require a commitment to continuous learning and improvement to with a goal to advance to mid-level role in 12-24 months.
Requirements
Key Responsibilities:
  • Contribute to developing AI-enhanced software and automation solutions, including GPT-powered features, Copilot Studio agents, custom developed AI solutions built on Azure such as Document intelligence.
  • Perform business and data analysis: map workflows, document processes, gather requirements, and translate them into technical specifications.
  • Configure and prototype conversational AI tools, test prompts, refine intents, grounding, and guardrails.
  • Support systems integration with enterprise tools (CRMs, SharePoint, data warehouses, Microsoft 365) using APIs, connectors, and secure methods.
  • Participate in quality assurance, testing, debugging, and AI-specific checks (prompt resilience, content moderation).
  • Create technical documentation, user guides, and contribute to internal knowledge bases.
  • Help enforce AI governance policies and verify output accuracy.
  • Collaborate with developers, analysts, and stakeholders in meetings and (as you grow) client discussions.

Qualifications:
  • Associate's degree in computer science, Information Systems, Engineering, or related field (relevant experience or bootcamp certification may substitute).
  • Proficiency in at least one programming language (JavaScript, PHP, C#, Java, etc.) and familiarity with web development or SQL.
  • Strong analytical and problem-solving skills, with comfort using spreadsheets and basic-to-intermediate SQL.
  • Excellent written and verbal communication skills; ability to explain technical concepts clearly.
  • Quick learner with genuine interest in AI/ML and its business applications.
  • Collaborative team player open to feedback and code reviews.

Preferred Qualifications:
  • Internship or academic projects in software development, data analysis, or AI.
  • Exposure to Microsoft Azure, Power Platform (especially Copilot Studio), or AI APIs.
  • Familiarity with data integration concepts or tools.
  • Entry-level certifications (e.g., AZ-900, PL-900).