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Ai In Usa Jobs in Texas (NOW HIRING)

In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value ... USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and ...

In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value ... USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and ...

In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value ... USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and ...

In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value ... USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and ...

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Role Summary As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to ...

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. They are ... Founded in 2022, the company is headquartered in Austin, USA, with a team of 51-200 employees. The ...

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Ai In Usa information

What is the difference between Ai In Usa vs Data Scientist in USA?

AspectAi In UsaData Scientist in USA
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications like TensorFlow or AWSBachelor's or higher in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentTech companies, startups, research labs; focus on AI model developmentVarious industries including finance, healthcare, tech; focus on data analysis and insights
Employer & Industry UsagePrimarily in AI-focused roles across tech and research sectorsAcross multiple industries, emphasizing data analysis and predictive modeling

While both roles require strong technical skills and similar educational backgrounds, Ai In Usa focuses specifically on developing artificial intelligence systems, whereas Data Scientist in USA emphasizes analyzing data to derive insights. Ai In Usa roles are more specialized in AI technologies, while Data Scientists work across diverse industries applying statistical and analytical methods.

Are AI jobs in demand?

AI jobs are in high demand due to rapid advancements in machine learning, data analysis, and automation technologies. Employers seek professionals with skills in programming, neural networks, and AI frameworks, leading to strong job growth in this field across various industries.

How to get an AI job?

To get an AI job, develop strong skills in programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data analysis. Obtain relevant education or certifications, build a portfolio of projects, and gain experience through internships or research to improve your chances of securing an AI role.

What are popular job titles related to Ai In Usa jobs in Texas?

For Ai In Usa jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Ai In Usa jobs?

Cities in Texas with the most Ai In Usa job openings:

Infographic showing various Ai In Usa job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 78% In-person, and 22% Remote job distribution.

AI Engineer Jobs in USA 2026

Austin, TX • On-site

$100 - $140/hr

Other

Posted 9 days ago


Job description

AI Engineer – USA 2026

Overview

AI Engineers are in high demand across the US, building scalable AI systems that run large language models and other AI solutions.

Key Skills
  • Proficiency in Kubernetes and cloud computing (AWS/Azure)
  • Strong programming in PyTorch, Transformers, and large‑language‑model tooling
Responsibilities
  • Design, build, and maintain AI infrastructure and architecture at scale.
  • Develop and deploy AI/ML models, ensuring performance and reliability.
  • Collaborate with product and business teams to translate business requirements into AI solutions.
  • Ensure AI outputs meet quality, ethical, and safety standards.
Qualifications
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field.
  • Experience with Kubernetes, cloud platforms, PyTorch, and large‑language‑model tooling.
  • Strong coding skills and knowledge of AI/ML fundamentals.
  • Experience in NLP, computer vision, or AI solutions architecture is preferred.
Benefits
  • Competitive salary exceeding six figures.
  • STEM OPT extension and potential H1-B sponsorship.
  • Opportunities to work on cutting‑edge AI technologies.

Applicants are encouraged to showcase projects on GitHub or Hugging Face and to network on LinkedIn.

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