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Remote Ai Infrastructure Engineer Jobs in Conroe, TX

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Guide architecture, infrastructure, and tools for AI/ML products. * Develop rapid prototypes and ...

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Remote Sales Representative (100% Commission-Based / Uncapped Earnings) Company: VisionEdge AI ... AI outbound follow-up campaigns, we engineer complete business growth infrastructure. As local ...

... engineering firm, general contractor, and real estate developer under one roof. Our team moves ... A team of operators defining the future of AI infrastructure. We recruit A-players from the most ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

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Overview We're looking for an AI Engineer fresh out of school or early in your career who's excited ... Comfort learning AWS basics and infrastructure-as-code concepts on the job * Strong curiosity and ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... Familiarity with cloud infrastructure (AWS preferred) and standard software delivery practices ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... Familiarity with cloud infrastructure (AWS preferred) and standard software delivery practices ...

A team of operators defining the future of AI infrastructure. We recruit A-players from the most ... What you'll do We are seeking a Civil Engineer to contribute to the full lifecycle of our site ...

This position supports remote work, preferably in EST or CST. What You'll Do As the AI Security ... You will work across Engineering, AI, Platform, Infrastructure, Digital Workplace, Security ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... No prior AI experience is required. Key Responsibilities * Analyze, profile, and optimize GPU ...

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Remote Ai Infrastructure Engineer information

See Conroe, TX salary details

$39.8K

$108.8K

$155.8K

How much do remote ai infrastructure engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote ai infrastructure engineer in Conroe, TX is $108,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $120,700.00 per year, depending on experience, location, and employer.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Conroe, TX?

For Remote Ai Infrastructure Engineer jobs in Conroe, TX, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Conroe, TX look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Conroe, TX are:

What cities near Conroe, TX are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Conroe, TX with the most Remote Ai Infrastructure Engineer job openings:

Machine Learning & AI Infrastructure Engineer

KORE1 Technologies

Houston, TX • Remote

$190K/yr

Contractor

Re-posted 19 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.




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.
Education:Employment Type: CONTRACTOR