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Entry Level Ai Infrastructure Engineer Jobs in Texas

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:
What are popular job titles related to Entry Level Ai Infrastructure Engineer jobs in Texas? For Entry Level Ai Infrastructure Engineer jobs in Texas, the most frequently searched job titles 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.

Machine Learning & AI Infrastructure Engineer

KORE1 Technologies

Houston, TX • On-site

$170K - $190K/yr

Full-time

Re-posted 29 days ago

Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Machine Learning & AI Infrastructure Engineer that is fully remote.
Summary:
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on technical role will work directly with compute, storage, networking, and containerized infrastructure to deliver scalable, high-performance solutions for enterprise, healthcare, research, and academic organizations.
The ideal candidate is passionate about AI infrastructure, thrives in complex technical environments, and enjoys solving challenging engineering problems while working alongside cross-functional teams.
Key Responsibilities
  • Deploy, administer, and optimize AI and HPC infrastructure environments.
  • Support compute, storage, networking, and container platforms across customer and internal environments.
  • Troubleshoot system performance, reliability, and scalability issues.
  • Assist with infrastructure automation and operational improvements.
  • Collaborate with engineering teams to design and implement modern AI and machine learning platforms.
  • Monitor and maintain infrastructure to ensure high availability and performance.
  • Support customer implementations and ongoing operational needs.

Required Qualifications
  • Strong experience administering HPC bare-metal environments.
  • Experience with NVIDIA Base Command Manager, Bright Cluster Manager, or similar HPC management platforms preferred.
  • Hands-on Kubernetes administration experience, particularly with persistent storage provisioning and CSI integrations.
  • Strong Linux administration skills, preferably Ubuntu.
  • Experience with Bash and/or Python scripting.
  • Strong troubleshooting and systems engineering capabilities.

Preferred Qualifications
  • Experience administering enterprise storage platforms such as Dell PowerScale/Isilon, VAST Storage, NetApp ONTAP, DDN IntelliFlash, or similar technologies.
  • Experience with DDN Exascaler, Lustre, or other parallel file systems.
  • Containerization and container orchestration experience.
  • Familiarity with InfiniBand networking and NVIDIA UFM.
  • Experience supporting enterprise Ethernet networking environments.
  • Exposure to AI, machine learning, or GPU-accelerated computing environments.

What Success Looks Like
  • Reliable deployment and operation of AI and HPC environments.
  • Strong system performance, scalability, and uptime.
  • Effective collaboration with engineering and customer teams.
  • Continuous improvement of infrastructure automation and operational processes.
  • Successful delivery of complex technical solutions supporting advanced AI and research initiatives.

Job Requirements
Compensation depends on experience but is typically $170-190k/year.
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

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