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Generative Ai Developer Jobs in Cary, NC (NOW HIRING)

The AI Solutions Engineer will own technical delivery from solution design through deployment ... Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.

The AI Solutions Engineer will own technical delivery from solution design through deployment ... Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.

AI Solutions Engineer

Raleigh, NC ยท On-site

$121K - $173K/yr

The AI Solutions Engineer will own technical delivery from solution design through deployment ... Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.

... generative AI techniques, including prompt engineering and end-to-end RAG system development. โ€ข Strong experience working with unstructured data, including text and documents, document processing ...

Senior Forward Deployed Engineer- AWS

Raleigh, NC ยท On-site

$101K - $139K/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 ...

Lead Forward Deployed Engineer - AWS

Raleigh, NC ยท 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 ...

Apply Agentic and Generative AI technologies responsibly to improve developer productivity, software quality, and engineering processes. * Collaborate with developers, testers, product managers, and ...

Apply Agentic and Generative AI technologies responsibly to improve developer productivity, software quality, and engineering processes. * Collaborate with developers, testers, product managers, and ...

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

We are seeking an innovative Internal Applications Engineer III specializing in NetSuite and ... Identify opportunities for automation within existing processes, leveraging generative AI and low ...

We are seeking an innovative Internal Applications Engineer III specializing in NetSuite and ... Identify opportunities for automation within existing processes, leveraging generative AI and low ...

We are seeking an innovative Internal Applications Engineer III specializing in NetSuite and ... Identify opportunities for automation within existing processes, leveraging generative AI and low ...

Showing results 41-60

Generative Ai Developer information

See Cary, NC salary details

$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for generative ai developer in Cary, NC is $42.37, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $51.30 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Cary, NC?

For Generative Ai Developer jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Cary, NC look for?

The top searched job categories for Generative Ai Developer jobs in Cary, NC are:

What cities near Cary, NC are hiring for Generative Ai Developer jobs?

Cities near Cary, NC with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Cary, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $88,131 per year, or $42.4 per hour.

AI Solutions Engineer

Vadum Inc

Raleigh, NC โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Description

Since 2004, Vadum has built a brand known for practical innovation that delivers solutions to customers in the competitive field of national defense research and development.


We are seeking a talented and innovative AI Solutions Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and deploying general AI solutions. The ideal candidate will be a generalist and have broad experience in Large Language Models (LLMs), agentic AI, and computer vision. This role sits at the intersection of engineering, product, and customer success, ideal for someone who can solve complex technical problems while working directly with customers to deliver high-impact pilot programs and integrations.


The AI Solutions Engineer will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product evolution. If you are passionate about artificial intelligence and enjoy solving complex technical challenges, we invite you to become a part of our forward-thinking organization.


Key Responsibilities


Solutions Design & Development

  • Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.
  • Architect and build computer vision feature extraction, classification, and object detection pipelines.
  • Develop prototypes, proof of concept, and small-scale pilot systems aligned with customer use cases.
  • Collaborate with product and research teams to translate requirements into scalable, production-ready solutions.

Customer Integration & Deployment

  • Lead technical discovery, solution scoping, and integration planning with customer engineering teams.
  • Deploy AI pilots into customer environments (cloud, on-prem, hybrid).
  • Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation systems.
  • Troubleshoot technical issues and guide customers through adoption and operationalization.

Technical Support & Enablement

  • Provide hands-on technical guidance to customers during pilot and post-deployment phases.
  • Develop documentation, reference architectures, and repeatable implementation patterns.
  • Train customer teams on best practices for general AI systems and workflow integration.
  • Serve as the technical advocate for customers internally and influence future product direction.

Cross-Functional Collaboration

  • Work closely with engineering to relay customer feedback, edge cases, and new integration requirements.
  • Partner with sales and customer success to support pre-sales demos, solutioning, and scoping discussions.
  • Contribute to internal and external technical materials (whitepapers, demos, templates).

Requirements

Skills and Qualifications


Required:

  • Ability to obtain Security Clearance.
  • Bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering, ML engineering, or solutions engineering.
  • Hands-on experience with LLM pipelines and workflows as well as computer vision feature extraction, classification, and object detection.
  • Strong Python skills and familiarity with AI/ML libraries (PyTorch, TensorFlow, LangChain, LlamaIndex, etc.).
  • Experience deploying AI applications via cloud platforms (AWS, GCP, Azure) or on-prem environments.
  • Demonstrated success delivering customer-facing pilots, proofs of concept, or integrations.
  • Excellent communication skills with the ability to translate technical concepts to diverse audiences.

Preferred:

  • Familiarity with MLOps workflows, CI/CD, containerization (Docker/Kubernetes).
  • Background in enterprise data systems or API-first architectures.
  • Previous technical consulting or field engineering experience

Work Environment

Work is performed in an office environment.


Travel

Occasional travel may be required.


What You'll Bring

  • A builder mindset with the ability to deliver end-to-end AI solutions.
  • Comfort working with ambiguity and inventing new workflows using emerging tools.
  • The ability to collaborate cross-functionally and drive successful customer outcomes.
  • Passion for generative AI and a desire to shape how organizations adopt it.

Join our innovative team and be part of a company that values technological excellence, continuous learning, and professional growth. We offer a collaborative work environment, competitive benefits, and opportunities to work on cutting-edge projects.


EEO Statement

Vadum, Inc. is an equal opportunity affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, age, genetic trait, sexual orientation, national origin, disability status, or any other characteristic protected by law.


Vadum, Inc. is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact the Human Resources Manager at (919) 341-8241 ext.: 180.