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Entry Level Ai Infrastructure Engineer Jobs in Texas

Reveille Technologies

AI Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

AI Infrastructure Engineer (Forward Deployed AI Engineer) Location : Austin, TX / Fort Mill, SC Required Skills * Strong Python development * Infrastructure engineering * Cloud platforms (AWS ...

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

AI Engineer (Entry-Level) - Agents & Experimentation For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services ... Containerize and deploy services using Docker and GPU-enabled infrastructure * Deploy AI workloads ...

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Entry Level Ai Infrastructure Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, research directors, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. Entry-level AI infrastructure engineers usually earn significantly less, with salaries often starting in the low six figures depending on experience and location.

Can you become an AI engineer with no experience?

Becoming an AI infrastructure engineer typically requires some background in programming, data structures, and machine learning concepts. While prior experience is helpful, entry-level roles often accept candidates who demonstrate strong technical skills, a willingness to learn, and relevant certifications or coursework in AI and cloud platforms. Building a portfolio through projects and gaining familiarity with tools like Python, TensorFlow, or cloud services can improve chances of entry without prior professional experience.

What engineer makes $500,000 a year?

While most entry-level AI infrastructure engineers do not earn that level of salary, senior AI or machine learning engineers with extensive experience, specialized skills, and advanced certifications can reach or exceed $500,000 annually, especially in high-demand industries or companies with competitive compensation packages. Such roles often require expertise in cloud platforms, large-scale data processing, and deep learning frameworks.

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

How to become an AI infrastructure engineer?

To become an AI infrastructure engineer, you should have a strong foundation in computer science, including knowledge of cloud platforms, networking, and hardware systems. Gaining skills in programming languages like Python and understanding AI frameworks, along with certifications in cloud services such as AWS or Azure, can enhance your qualifications. Practical experience with deploying and managing AI models and infrastructure is also essential.
What are the most commonly searched types of Ai Infrastructure Engineer jobs in Texas? The most popular types of Ai Infrastructure Engineer jobs in Texas are:
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What cities in Texas are hiring for Entry Level Ai Infrastructure Engineer jobs? Cities in Texas with the most Entry Level Ai Infrastructure Engineer job openings:
Entry Level Ai Infrastructure Engineer jobs near you
Infographic showing various Entry Level Ai Infrastructure Engineer job openings in Texas as of July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 71% In-person, 7% Hybrid, and 22% Remote job distribution.
AI Infrastructure Engineer

AI Infrastructure Engineer

Reveille Technologies

Austin, TX • On-site

$106K - $139K/yr

Other

Posted 7 days ago

Job description

Hi,
Job Title : AI Infrastructure Engineer (Forward Deployed AI Engineer) Location: Austin, TX / Fort Mill, SC

Required Skills
  • Strong Python development
  • Infrastructure engineering
  • Cloud platforms (AWS preferred)
  • Infrastructure as Code
  • GitHub Copilot
  • Cursor AI
  • Prompt Engineering
  • LLM-based software development
  • AI-assisted coding
  • DevOps
  • Automation
  • APIs
  • Scripting
  • Problem solving
  • Self-starter mindset
  • Excellent communication

    Preethi S

    Reveille Technologies Inc.,

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