ZipRecruiter

Log In

2

Remote Ai Infrastructure Engineer Jobs in Fort Mill, SC

Mondo

GCP AI Engineer

Charlotte, NC · Remote

$100 - $111/hr

Remote Start Date: 2 weeks after verbal offer Duration: Contract, 6 months (potential to convert to permanent) Compensation Range: $100-111/hr W2 Benefits: Eligible for Health, Dental, Vision, and ...

Addison Group

Agentic AI Engineer

Charlotte, NC · Remote

$140K - $175K/yr

Charlotte, NC with a hybrid weekly schedule (3 Days Onsite/2 Days Remote) Status: Salaried, Exempt ... AI Engineer to help shape and deploy enterprise-wide AI capabilities. This newly created role ...

Quora

iOS Engineer -Remote

Rock Hill, SC · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

Quora

iOS Engineer -Remote

Charlotte, NC · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

Humana

Senior Systems Engineer

Charlotte, NC · On-site +1

$102K - $139K/yr

Location Remote Candidates must be located in one of the following markets: Louisville, KY ... Review infrastructure changes, automation scripts, and rollout plans to ensure quality and ...

Shutterfly

Senior Principal Software Engineer

Fort Mill, SC · Remote

$110K - $152K/yr

This position is a remote role that will be based in the United States with preference given to ... AI quality, safety, and business impact * Scalable inference and orchestration infrastructure

previous pagenext page

Showing results 21-40

All JobsAi Infrastructure Engineer JobsRemote Ai Infrastructure Engineer JobsRemote Ai Infrastructure Engineer Jobs in Fort Mill, SC

Remote Ai Infrastructure Engineer information

See Fort Mill, SC salary details

$40.9K

$111.7K

$159.9K

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

As of Sep 5, 2026, the average yearly pay for remote ai infrastructure engineer in Fort Mill, SC is $111,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $123,900.00 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 the most commonly searched types of Ai Infrastructure Engineer jobs in Fort Mill, SC?

The most popular types of Ai Infrastructure Engineer jobs in Fort Mill, SC are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Fort Mill, SC?

For Remote Ai Infrastructure Engineer jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Fort Mill, SC look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Fort Mill, SC with the most Remote Ai Infrastructure Engineer job openings:

Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Fort Mill, SC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $111,660 per year, or $53.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Charlotte, NC • Remote

Full-time

Re-posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply