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Remote Generative Ai Jobs in Connecticut (NOW HIRING)

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Experience building and supporting enterprise-scale generative AI solutions. * Experience with ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... AI / generative AI * Experience with CI/CD pipelines, Automated Testing, Automated Deployments ...

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 ...

Showing results 21-28

Remote Generative Ai information

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.

What are the most commonly searched types of Generative Ai jobs in Connecticut?

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

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

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

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

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

Infographic showing various Remote Generative Ai job openings in Connecticut as of August 2026, with employment types broken down into 74% Full Time, 19% Part Time, 2% Temporary, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Principal Engineer

FAVARH

Windsor, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Together we fight for everyone's opportunity for a better financial future.

We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough ... we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage - Apply Now

Get to Know the Opportunity:
The AI Principal Engineer (IC Director) is responsible for leading the design, development, and delivery of complex, production-grade AI solutions that drive meaningful business outcomes. This role serves as a senior technical leader across multiple initiatives, owning significant platform components and domains while influencing architecture, engineering standards, and solution quality.
Operating with a high degree of independence, the AI Principal Engineer partners closely with product, engineering, data, and governance stakeholders to deliver scalable, reliable, and secure AI solutions in a highly regulated environment. This role plays a critical part in ensuring AI capabilities are aligned to enterprise standards, responsible AI principles, and long-term business objectives.
This role is fully remote, with no regular in-office requirement.
The Contributions You'll Make:
  • Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services.
  • Own technical direction for major AI platform components, products, or functional domains.
  • Establish and drive engineering best practices for model evaluation, validation, testing, monitoring, and operationalization.
  • Partner with product, business, and data stakeholders to translate business requirements into scalable AI solutions.
  • Contribute to architectural decisions related to model selection, system integrations, API design, and platform scalability.
  • Ensure AI solutions comply with enterprise standards for security, privacy, governance, and responsible AI.
  • Mentor and guide engineering team members while promoting technical excellence and engineering quality.
  • Identify technical risks, dependencies, and implementation challenges, and develop appropriate mitigation strategies.
  • Drive delivery outcomes across multiple initiatives while maintaining high standards for reliability, performance, and maintainability.
  • Influence engineering practices and contribute to continuous improvement across AI development and deployment processes.
Minimum Knowledge & Experience:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field required.
  • Significant experience designing, developing, and delivering production AI/ML systems.
  • Experience deploying, operationalizing, and maintaining AI/ML models in production environments.
  • Strong proficiency in programming languages such as Python, TypeScript, or Rust.
  • Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines.
  • Deep understanding of model lifecycle management, MLOps practices, and production reliability principles.
  • Demonstrated success leading complex technical initiatives with significant business impact.
  • Strong analytical, problem-solving, and systems-thinking capabilities.
  • Proven ability to collaborate effectively across technical and non-technical disciplines.
Preferred Knowledge & Experience:
  • Advanced degree in Computer Science, Engineering, Mathematics, or a related field preferred.
  • Experience building and supporting enterprise-scale generative AI solutions.
  • Experience with retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks.
  • Familiarity with cloud-native AI platforms and modern distributed system architectures.
  • Experience operating within regulated industries and governance-focused environments.
  • Knowledge of responsible AI frameworks, model risk management, and AI compliance practices.
  • Experience mentoring engineers and influencing technical strategy across multiple teams.

Compensation Pay Disclosure:

Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities.

The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.

Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

$149,820 - $198,370 USD

Be Well. Stay Well.

Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.

What We Offer

  • Health, dental, vision and life insurance plans
  • 401(k) Savings plan - with generous company matching contributions (up to 6%)
  • Voya Retirement Plan - employer paid cash balance retirement plan (4%)
  • Tuition reimbursement up to $5,250/year
  • Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
  • Paid volunteer time - 40 hours per calendar year

Learn more about Voya benefits (download PDF)

Critical Skills

At Voya, we have identified the following critical skills which are key to success in our culture:

  • Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
  • Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
  • Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
  • Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
  • Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.

Learn more about Critical Skills

Equal Employment Opportunity

Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.

Reasonable Accommodations

Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.

Misuse of Voya's name in fraud schemes