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Remote Generative Ai Engineer Jobs in Columbia, SC

Greenlight Guru

Sr. Software Engineer I

North, SC · Remote

$113K - $149K/yr

... LLMs), generative AI APIs, or intelligent automation is a plus * Skilled in writing unit and ... Remote-first culture * Home Office stipend upon hire * Multiple Health insurance options (vision ...

Toptal

VP, AI Services - US-Based

North, SC · Remote

This is a remote position. Applicants must be authorized to work in the US at the time of hire ... Familiarity with LLMs, generative AI APIs (OpenAI, Azure OpenAI, Anthropic), and prompt engineering ...

Connection

Sr Solution Architect, 0365 - Remote

SC · Remote

$120K - $156K/yr

... engineering teams. * Monitor industry trends, and emerging technologies, making recommendations ... Microsoft 365 Copilot and generative AI solutions (horizontal and vertical) * Microsoft Entra ID ...

Connection

Sr Solution Architect, 0365 - Remote

SC · On-site +1

$120K - $156K/yr

... engineering teams. * Monitor industry trends, and emerging technologies, making recommendations ... Microsoft 365 Copilot and generative AI solutions (horizontal and vertical) * Microsoft Entra ID ...

EnerSys

Senior Finance AI & Automation Developer

Sumter, SC · On-site +1

$95K - $142K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Stacklok

Sr. Software Engineer - Platform

North, SC · On-site +1

$189K - $231K/yr

Location This is a remote role based in North America, with a strong preference for candidates ... The Opportunity Enterprises are moving AI agents from experimentation into production, and they ...

Stacklok

Software Engineer II - Platform

North, SC · On-site +1

$157K - $192K/yr

Location This is a remote role based in North America, with a strong preference for candidates ... The Opportunity Enterprises are moving AI agents from experimentation into production, and they ...

Motorola

Senior DevOps Engineer (US REMOTE)

Lexington, SC · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Brave

Quality Assurance Engineer

North, SC · Remote

$90K - $130K/yr

Quality Assurance Engineer Remote - Restricted to North America About Brave Brave is on a mission ... Familiarity with latest AI trends and ecosystem * Experience with git and other command line tools

Cisco

Software Security Lead (Remote)

Columbia, SC · Remote

We'rebuilding a framework that puts AI to work at every step, a frameworkthatdrives a risk-based ... We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ...

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Remote Generative Ai Engineer information

See Columbia, SC salary details

$35.2K

$107.2K

$177.2K

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

As of Sep 8, 2026, the average yearly pay for remote generative ai engineer in Columbia, SC is $107,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $140,200.00 per year, depending on experience, location, and employer.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

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

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are popular job titles related to Remote Generative Ai Engineer jobs in Columbia, SC?

For Remote Generative Ai Engineer jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Columbia, SC look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Columbia, SC are:

Remote Generative Ai Engineer jobs near you

AI Consultant - Contract - Columbia, SC

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Full-time

Re-posted 8 days ago

Job description

AI Consultant SME Location: Fully Remote with occasional onsite visits required. Interview Process: 1 round, Virtual/Online Duration: 12 Months Employment Type: Contract Experience Required: 05+ Years Candidate location: No South Carolina residency required. Open to nationwide candidates; must be able to work eastern time zone hours.

All travel-related costs for onsite work will be the responsibility of the resource, regardless of the frequency of onsite work. Project Scope: We are seeking an experienced AI Consultant SME to provide technical leadership in the evaluation, design, and responsible implementation of Artificial Intelligence solutions. The ideal candidate will support enterprise AI initiatives by assessing AI use cases, evaluating AI platforms and vendors, developing secure AI architectures, and implementing scalable AI solutions aligned with governance, security, and privacy standards.

Key Responsibilities: Support the development and implementation of enterprise AI strategies. Evaluate AI use cases, vendors, and platforms to ensure compliance with organizational standards. Promote standardized AI governance, processes, and best practices.

Design secure AI architectures and reusable technical patterns. Develop AI prototypes and conduct proof-of-concept (POC) and feasibility assessments. Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions.

Build dashboards and reports to monitor AI adoption, performance, costs, risks, and operational outcomes. Integrate AI capabilities with Azure and AWS cloud platforms. Provide technical guidance, documentation, and knowledge transfer to stakeholders.

Stay current with emerging AI technologies, tools, and industry best practices. Required Skills & Experience: 5+ years of overall IT experience. 1+ year of experience establishing proof-of-concept success criteria and evaluating AI solutions.

2+ years of hands-on experience with ChatGPT, Microsoft Copilot, and similar Generative AI platforms. 2+ years of experience designing and implementing AI agents and Retrieval-Augmented Generation (RAG) solutions. 1+ year of experience using AI-assisted coding tools for development, testing, debugging, and documentation.

1+ year of experience defining AI use case success criteria, KPIs, and production monitoring metrics. 1+ year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes. 1+ year of hands-on experience integrating AI capabilities with Azure and AWS.

Strong analytical, problem-solving, and communication skills. Preferred Skills: Experience with multiple programming languages and software development principles. Knowledge of Artificial Neural Networks (ANNs), Transformers, Natural Language Processing (NLP), image classification, and time-series analysis.

Experience with data storage, retrieval, and data cleansing techniques. Experience delivering complex enterprise AI projects. Education Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (required).

Advanced degree is preferred.

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