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Remote Generative Ai Engineer Jobs in Pennsylvania

AI Engineer

Broomall, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce ... generative AI applications. This role focuses on translating GenAI concepts into customer-facing ...

Lead AI Engineer

Bethlehem, PA · On-site +1

$118K - $195K/yr

... AI and Generative AI solutions that drive innovation and operational excellence across the ... Experience working with remote teams in a matrixed environment * Mentor junior team members and ...

Principal AI Engineer

Norristown, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Overview As a Principal AI Engineer at MRO, you will own the technical vision and implementation of ... generative AI, and structured data reasoning to automate answers to Healthcare Registry ...

Principal AI Engineer

Norristown, PA · On-site +1

$180K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Overview As a Principal AI Engineer at MRO, you will own the technical vision and implementation of ... generative AI, and structured data reasoning to automate answers to Healthcare Registry ...

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced engineer to join our mission of integrating generative AI solutions with creative tools and production workflows. In this role, you will own the engineering side of ...

AI Solutions Architect

Pittsburgh, PA · Remote

$61.25 - $80.50/hr

Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred) Compensation ... Partner with data engineers, solution architects, and delivery teams to ensure AI solutions are ...

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

Senior Staff Agentic AI Engineer

Chadds Ford, PA · On-site +1

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... ML, Generative AI, or agentic systems (e.g., LLM-powered applications, LangChain, LangGraph ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

AI Enterprise Architect

West Chester, PA · Remote

$65.25 - $84.25/hr

  • Medical

  • Retirement

  • PTO

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... Define and embed AI engineering standards, including MLOps and LLMOps practices for testing ...

Senior Applied AI Engineer

Philadelphia, PA · On-site +1

$105K - $144K/yr

... the remote option.) Job Summary We're seeking a Senior Applied AI Engineer to join our Cloud ... Security Engineering team and help shape the next generation of intelligent platforms that drive ...

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Remote Generative Ai Engineer information

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 the most commonly searched types of Generative Ai Engineer jobs in Pennsylvania?

The most popular types of Generative Ai Engineer jobs in Pennsylvania are:

What job categories do people searching Remote Generative Ai Engineer jobs in Pennsylvania look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Generative Ai Engineer jobs?

Cities in Pennsylvania with the most Remote Generative Ai Engineer job openings:

Infographic showing various Remote Generative Ai Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Generative AI Expert (Remote)

LearnQuest

Philadelphia, PA • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

LearnQuest is seeking a Subject Matter Expert (SME) to spearhead the development of a comprehensive curriculum focused on Generative AI. This is an exciting opportunity to leverage your expertise in AI and educational content development to shape the learning experiences of aspiring AI enthusiasts and professionals.

Responsibilities:

  • Collaborate with our team to develop a curriculum framework tailored to our specific objectives and target audience.
  • Conduct in-depth research on Generative AI topics, emerging trends, and best practices to ensure the curriculum remains relevant and up-to-date.
  • Create instructional materials, including presentations, slides, exercises, assessments, and other learning resources.
  • Provide expert guidance and support throughout the curriculum development process, offering insights and recommendations to enhance the quality and effectiveness of the educational content.
  • Optional: Adapt and integrate pre-existing materials or underlying content related to Generative AI into the curriculum framework, if applicable.

Qualifications:
  • Demonstrated expertise in Generative AI, with a strong understanding of underlying concepts, methodologies, and applications.
  • Proven experience in developing educational content, curriculum, or training materials related to AI.
  • Excellent communication skills, with the ability to convey complex concepts in a clear and engaging manner.
  • Strong research skills, with the ability to stay updated on the latest developments and advancements in the field of Generative AI.
  • Collaborative mindset, with the ability to work effectively with cross-functional teams and stakeholders.
  • Flexibility and adaptability to accommodate evolving project requirements and priorities.
  • Experience with instructional design principles and methodologies is a plus.
How to Apply:

Interested individuals should send their resume, with a focus on their experience and knowledge in Generative AI, as well as their training experience, including developing courses, e-learning, and self-paced courses. Please include any relevant samples or portfolios showcasing previous work in these areas.