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Remote Generative Ai Engineer Jobs in Goodyear, AZ

Sonatafy Technology

Principal Engineer

Phoenix, AZ · On-site +1

Guide the adoption of emerging technologies, including Generative AI Development Toolchains, LLMs ... We offer competitive compensation, a remote-first lifestyle, and career growth opportunities across ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

YO AI Labs

AI Consulting Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Kemper

SVP, Chief Technology Officer (CTO)

Phoenix, AZ · On-site +1

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... This includes enterprise cloud infrastructure, developer platforms, data platforms, AI platforms ...

Cisco

Senior Software Engineer

Phoenix, AZ · On-site +1

$121K - $160K/yr

This is a remote position anywhere in the USA. Meet the Team Our software engineering team develops ... Ability to use AI/ML or generative AI to solve security problems, such as automated threat ...

New

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI ...

UnitedHealth Group

Senior Software Engineer

Tempe, AZ · Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Finance Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Goodyear, AZ

Remote Generative Ai Engineer information

See Goodyear, AZ salary details

$37.1K

$113.2K

$187.1K

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

As of Aug 18, 2026, the average yearly pay for remote generative ai engineer in Goodyear, AZ is $113,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,100.00 and $148,000.00 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 job categories do people searching Remote Generative Ai Engineer jobs in Goodyear, AZ look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Goodyear, AZ are:

What cities near Goodyear, AZ are hiring for Remote Generative Ai Engineer jobs?

Cities near Goodyear, AZ with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Goodyear, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $113,206 per year, or $54.4 per hour.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 26 days ago

Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

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