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Generative Ai Developer Jobs in New Jersey (NOW HIRING)

Zuven Technologies Inc

Lead AI Developer

Jersey City, NJ · On-site

$61.50 - $80.75/hr

Lead AI Developer Location: New Jersey (Onsite) Insurance Domain preferable Role Summary We are ... Hands-on experience designing and implementing an Agentic SDLC Proven experience with Generative AI ...

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ClifyX

SAP AI Engineering Architect

Edison, NJ · On-site

Job Title: SAP AI Engineering Architect Job Summary We are seeking an experienced SAP AI ... Hands-on experience with SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in New Jersey

Generative Ai Developer information

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$45

$102

How much do generative ai developer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for generative ai developer in New Jersey is $45.98, according to ZipRecruiter salary data. Most workers in this role earn between $23.89 and $55.62 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 New Jersey?

For Generative Ai Developer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in New Jersey look for?

The top searched job categories for Generative Ai Developer jobs in New Jersey are:

What cities in New Jersey are hiring for Generative Ai Developer jobs?

Cities in New Jersey with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in New Jersey as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 2% Temporary, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $95,635 per year, or $46 per hour.

AI Solutions Engineer (Snowflake & Generative AI)

Dale Workforce Solutions

Princeton, NJ • On-site

Other

Posted 5 days ago

Job description

Contract Position
Open to W2 or C2C
Remote, with travel to Princeton, NJ - 1-2 times per month
Position Summary:
We are seeking a Senior AI Solutions Engineer to accelerate the development and production of enterprise AI solutions within our Commercial Data & Analytics platform. This individual will be responsible for building AI-powered applications, semantic data models, and scalable data pipelines using Snowflake and modern Generative AI technologies.
The ideal candidate is a hands-on engineer with strong expertise in Snowflake, Python, SQL, and LLM-based application development who can quickly contribute to multiple high-priority AI initiatives.
Primary Responsibilities:
• Design and develop AI-powered applications using Snowflake Cortex, Large Language Models (LLMs), and Agentic AI frameworks.
• Build and optimize semantic models and AI-ready datasets for structured and unstructured data.
• Design and automate data ingestion, transformation, orchestration, and refresh pipelines.
• Integrate clinical, commercial, and external data sources into enterprise AI workflows.
• Optimize Snowflake performance and ensure production-ready, maintainable solutions.
• Support deployment, testing, and operationalization of AI solutions.
Required Qualifications:
• 7+ years of experience in Data Engineering, AI Engineering, or Software Engineering.
• Strong hands-on experience with Snowflake, including Snowpark, SQL, and performance optimization.
• Experience developing Generative AI applications using LLMs, Prompt Engineering, RAG, AI Agents, and workflow orchestration.
• Strong programming skills in Python.
• Experience designing semantic data models and enterprise data pipelines.
Preferred Qualifications:
• Experience with Snowflake Cortex (Analyst, Search, Complete, Intelligence, Cortex Agents).
• Experience with healthcare or life sciences data.
• Experience with OMOP, claims data, clinical trial data, or commercial pharmaceutical data.
Technical Skills:
• Snowflake (Snowpark, Cortex, SQL)
• Python
• Generative AI / LLMs
• RAG & AI Agents
• Prompt Engineering
• Semantic Modeling
Nice-to-Have Experience:
• Commercial Pharma Analytics
• Clinical Trials
• Claims Data
• OMOP Data Model

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