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Remote Generative Ai Engineer Jobs in Connecticut

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Senior Operational Engineer

Hartford, CT · Remote

$105K - $144K/yr

As a senior technical contributor with an AI-forward mindset, you will play a key role in ... Experience working within Agile delivery frameworks and collaborating with distributed or remote ...

Posted today

Epic Denials Management Operator

Stamford, CT · Remote

$19.25 - $25.50/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Epic Denials Management Operator

Hartford, CT · Remote

$18.25 - $24.25/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Design, improve, and maintain ... Utilize AI-assisted development tools to support infrastructure analysis and improvement efforts ...

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Define and lead technical strategy ... Utilize AI-assisted development tools to support codebase navigation, modernization, and platform ...

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

... AI. We value your time and take each submission seriously.) At ADNET, a New Charter Company, we are seeking a TAC Engineer in a primarily remote role (in other companies this person could hold the ...

... AI. We value your time and take each submission seriously.) At ADNET, a New Charter Company, we are seeking a TAC Engineer in a primarily remote role (in other companies this person could hold the ...

Showing results 41-60

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:

EPIC Analytics and Reporting Engineer- Project- Senior Consultant

Deloitte

Stamford, CT • On-site, Remote

$105K - $137K/yr

Full-time

Re-posted 26 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services


Job description

 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Qualifications:
 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Education:Bachelor's DegreeEmployment Type:

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