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Remote Generative Ai Engineer Jobs in Connecticut

The Hartford

AVP, Software Engineering Lead

Hartford, CT · On-site +1

$255K/yr

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... Define and lead the AI engineering strategy aligned to enterprise technology, Data & AI, and ...

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... including generative and agentic AI, retrievalaugmented systems, forecasting, recommendation ...

Gartner

Director, Data Science

Stamford, CT · Remote

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

The Hartford

Lead Staff AI Data Engineer

Hartford, CT · On-site +1

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ... Experience supporting Generative AI data engineering use cases * Hands-on experience implementing ...

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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 Connecticut?

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

What are popular job titles related to Remote Generative Ai Engineer jobs in Connecticut?

For Remote Generative Ai Engineer jobs in Connecticut, the most frequently searched job titles are:

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

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

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

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

Remote Generative Ai Engineer jobs near you

Principal Software Engineer (Health100 Platform)

CVS Health

Hartford, CT • On-site, Remote

$144K - $288K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,339 frontline employees who took The Breakroom Quiz

91st of 113 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Health100 is an AInative health technology platform that unifies pharmacies, providers, insurers, PBMs, and digital health solutions into a single, consumerfocused ecosystem. Powered by Google Cloud AI, we're reimagining personalized and connected health experiences.

As a Principal Software Engineer for Health100, you will set the technical direction for cloud-native, event-driven platforms and services. You'll partner with product and architecture leaders to make pragmatic design decisions, mentor senior engineers, and stay hands-on for critical-path components. You will translate prototypes into production systems with clear reliability, security, and performance standards while ensuring strong engineering practices (testing, observability, CI/CD) from day one. Your leadership elevates quality, accelerates delivery, and fosters a culture of craftsmanship and learning.

*Preference is for candidates to work hybrid out of our corporate headquarters in Woonsocket, RI; remote will be considered for candidates not in close proximity to an office.

Responsibilities:

  • Set and own technical vision and strategy across cloud, backend, automation, and platform domains, solving complex problems and driving aligned execution.

  • Serve as senior technical authority for highimpact initiatives, guiding architecture, shaping engineering processes, and ensuring consistent, highquality delivery across teams and partners.

  • Define platform direction and roadmaps by collaborating with engineering leadership, product teams, and the opensource community, influencing frameworks and core system design.

  • Lead solutions from prototype to production, contributing to key frameworks and components while ensuring performance, security, reliability, and operational readiness.

  • Drive innovation and execution excellence by applying deep technical judgment, navigating competing priorities, fostering crossteam alignment, and staying current with emerging technologies and industry standards.


Required Qualifications

  • 10+ years of software development experience, including hands-on Agile delivery and building enterprise-grade distributed systems.

  • 5+ years of development experience in Java, Spring Boot, and Microservices, including 2+ years working with Kafka or other event-driven platforms.

  • 3+ years of experience with cloud computing technologies (GCP, Azure, or equivalent public cloud).

  • 3+ years applying engineering practices for security, resiliency, availability, and scalability in production systems.

  • Experience with AI/generative AI solutions and technologies.


Preferred Qualifications

  • Experience in the health, wellness, or pharmacy domain.

  • Contributions to open-source technology or developed patents.

  • Full-stack development capability.

  • Strong cross-functional collaboration skills with the ability to achieve broader organizational goals.


Education

  • Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent experience (Highschool diploma plus 4 years relevant work experience).

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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