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Freelance Generative Ai Engineer Jobs in Raleigh, NC

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

AI Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

... generative AI models. Understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Experience in programming languages like Python and ...

... Generative AI technologies to improve performance debugging, log analysis, and data interpretation Build and maintain clear, user friendly dashboards for performance metrics Collaborate with ...

Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox ... Important Information: - This is a freelance position compensated on an hourly basis. Please note ...

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Lead Forward Deployed Engineer - AWS

Raleigh, NC · On-site

$99K - $131K/yr

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Title: UiPath Developer/System Programmer 4 The UiPath Developer is responsible for designing ... generative AI capabilities. Develop AI-powered agents capable of autonomous decision-making ...

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Design, develop, and deliver production-grade AI/ML and Generative AI solutions within the OQGA ... Contribute to LLMOps and DevOps practices, including CI/CD pipelines, model and prompt versioning ...

Senior Software Engineer

Raleigh, NC · Remote

$119K - $157K/yr

Design, develop, and deliver production-grade AI/ML and Generative AI solutions within the OQGA ... Contribute to LLMOps and DevOps practices, including CI/CD pipelines, model and prompt versioning ...

Showing results 41-60

Freelance Generative Ai Engineer information

See Raleigh, NC salary details

$14

$46

$128

How much do freelance generative ai engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for freelance generative ai engineer in Raleigh, NC is $46.38, according to ZipRecruiter salary data. Most workers in this role earn between $23.61 and $60.05 per hour, depending on experience, location, and employer.

What is a freelance generative AI engineer?

A Freelance Generative AI Engineer is a professional who works independently to design, build, and deploy artificial intelligence models that can generate new data, such as text, images, or music. These engineers typically specialize in technologies like generative adversarial networks (GANs), large language models (LLMs), and other machine learning frameworks. They collaborate with clients or companies on a project-by-project basis, offering expertise in AI model development, fine-tuning, and integration. Being freelance, they have the flexibility to work with multiple clients across various industries, including tech, media, and entertainment.

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

To thrive as a Freelance Generative AI Engineer, you need a deep understanding of machine learning, neural networks, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and experience with AI model deployment are typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate with clients and address evolving project needs. These skills are crucial for developing innovative AI solutions, meeting client expectations, and staying competitive in a rapidly changing field.

What are the most common challenges faced by freelance generative AI engineers when working with clients on custom AI solutions?

Freelance Generative AI Engineers often encounter challenges such as managing client expectations regarding project timelines and the complexity of AI models, especially when clients have limited technical knowledge. Ensuring clear communication about data requirements, model capabilities, and ethical considerations is crucial for successful project delivery. Additionally, freelancers must stay up to date with rapidly evolving AI frameworks and tools while balancing multiple projects and deadlines. Building robust documentation and maintaining transparency throughout the development process can help mitigate misunderstandings and foster long-term client relationships.

What are the most commonly searched types of Generative Ai Engineer jobs in Raleigh, NC?

The most popular types of Generative Ai Engineer jobs in Raleigh, NC are:

What job categories do people searching Freelance Generative Ai Engineer jobs in Raleigh, NC look for?

The top searched job categories for Freelance Generative Ai Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Freelance Generative Ai Engineer jobs?

Cities near Raleigh, NC with the most Freelance Generative Ai Engineer job openings:

Machine Learning Engineer Lead

Compunnel

Raleigh, NC • On-site

$99K - $131K/yr

Contractor

Posted 5 days ago


Job description

Job Summary
The Machine Learning Engineer Lead will define and lead the architecture of scalable AI/ML and agentic systems across the global product portfolio. This senior technical leadership role will focus on large-scale distributed ML systems, LLM and RAG architectures, Agentic AI frameworks, tool orchestration, and enterprise platform engineering. The role will shape long-term AI platform strategy, establish technical standards, and mentor engineering teams while supporting highly available, secure, and scalable AI systems.
Key Responsibilities
• Define reference architectures for LLM, machine learning, and agent-based systems across products.
• Design high-availability and low-latency inference platforms capable of operating at global scale.
• Establish reusable platform components for model lifecycle management, deployment, monitoring, and operationalization.
• Architect scalable AI platforms supporting large-scale distributed ML systems and enterprise AI workloads.
• Architect multi-step, reasoning-driven agentic AI systems.
• Design orchestration patterns for tool use, API invocation, and structured function calling.
• Lead the implementation and governance of Model Context Protocol (MCP) servers to standardize tool integration and context management.
• Define guardrails, permissions, security controls, and audit mechanisms for enterprise-safe AI systems.
• Establish and maintain best practices for MLOps, CI/CD, observability, scalability, and system reliability.
• Design and implement scalable inference systems using containerization and Kubernetes.
• Drive the deployment and optimization of LLM, Generative AI, and RAG solutions in production environments.
• Design cloud-based AI/ML architectures across AWS, Azure, or GCP.
• Establish technical standards and architectural patterns for AI/ML and agentic systems across engineering teams.
• Embed Responsible AI principles into platform architecture and engineering practices.
• Provide technical leadership, mentorship, and guidance to senior engineers and engineering teams.
• Collaborate with cross-functional teams to influence technical direction and ensure alignment with enterprise AI platform strategy.
• Support people management, leadership, and team development activities as required.
Required Qualifications
• 10+ years of experience building and deploying production-grade machine learning systems at scale.
• Strong experience with LLMs, Generative AI, and RAG deployments in production environments.
• Strong Python development background.
• Expertise designing and implementing AI/ML systems in cloud environments such as AWS, Azure, or GCP.
• Hands-on experience with Kubernetes, containerization, and scalable inference systems.
• Experience designing agentic AI systems and tool orchestration frameworks.
• Experience implementing and governing MCP servers or structured architectures for tool integration and context management.
• Experience with large-scale distributed ML systems and enterprise platform engineering.
• Experience establishing MLOps, CI/CD, observability, and system reliability practices.
• Demonstrated people management, technical leadership, or mentorship experience.
• Strong understanding of high-availability and low-latency AI/ML architectures.
• Ability to define technical standards and influence architecture and engineering decisions across teams.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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