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Generative Ai Developer Jobs in Connecticut (NOW HIRING)

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

AI Solutions Architect

Norwalk, CT ยท On-site

$126 - $168/hr

... by the AI engineering and product teams. The role focuses on API integration design, data ... Define scalable and secure architecture patterns for generative AI, large language models, machine ...

... implementing generative AI solutions and ensuring compliance and performance management ... MLOps, DevOps, and Deployment โ€ข Agile, customer communication and offshore coordination and ...

AI Solutions Architect

Norwalk, CT ยท On-site

$63.25 - $83.25/hr

... by the AI engineering and product teams. The role focuses on API integration design, data ... Define scalable and secure architecture patterns for generative AI, large language models, machine ...

AI Solutions Architect

Norwalk, CT ยท On-site

$125K - $167K/yr

... by the AI engineering and product teams. The role focuses on API integration design, data ... Define scalable and secure architecture patterns for generative AI, large language models, machine ...

AI Solutions Architect

Norwalk, CT ยท On-site

$63.25 - $83.50/hr

... by the AI engineering and product teams. The role focuses on API integration design, data ... Define scalable and secure architecture patterns for generative AI, large language models, machine ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

AI Engineer

Stamford, CT ยท On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Showing results 21-40

Generative Ai Developer information

See Connecticut salary details

$18

$43

$96

How much do generative ai developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for generative ai developer in Connecticut is $43.08, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $52.12 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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

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

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

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

Infographic showing various Generative Ai Developer 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, with an average salary of $89,611 per year, or $43.1 per hour.

Senior Software Engineer - AI Agents & Harnesses

The Travelers Indemnity Company

Hartford, CT โ€ข On-site

$139K - $230K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Who Are We?
Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Job Category
Technology
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
As a member of the Enterprise AI and Emerging Technology organization at Travelers, you'll be joining a strategic and collaborative team focused on transforming our business and technology capabilities leveraging best in class AI-enabled technology.
- We're looking for a Sr. Software Engineer in the Enterprise AI Platforms organization to join our team focused on delivering enterprise platform capabilities that enable and accelerate the development of generative AI applications.
- Will serve as a technical leader in the organization who is responsible for shaping architecture decisions and delivering technical features across the enterprise.
- Engineers at this level work across the full architecture of product delivery from requirements gathering to maintenance and enhancement of existing systems.
- Will lead stakeholder conversations, shape the technical direction of initiatives, and build collective ownership across engineering, architecture, and product.
- This role is for engineers who bring deep, production-ready delivery experience to the table and who can anticipate the needs of the business in a fast-paced environment.
What Will You Do?
  • Design, lead, and own the delivery of production-grade platforms that engineering teams leverage to build and deploy generative AI applications.
  • Drive architecture decisions and system design across multiple teams, establishing and advancing the technical patterns, engineering standards, and practices adopted across the enterprise.
  • Lead stakeholder conversations, translate technical capabilities into clear business value, and identify opportunities where technology can drive measurable business outcomes.
  • Think proactively about the technical strategy of the Enterprise AI Platforms organization.
  • Participate in and lead cross-organizational engineering events and technical forums to share knowledge across the enterprise.

What Will Our Ideal Candidate Have?
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 6+ years of hands-on software development experience, including demonstrated production delivery of AI solutions.
  • Proficiency in Python, with experience in additional languages such as TypeScript-particularly for candidates building AI integrations.
  • Hands-on experience building and deploying generative AI applications.
  • Hands-on experience with AWS and/or Azure cloud services.
  • Hands-on experience with containerization and orchestration tools, including Kubernetes.
  • Hands-on experience with CI/CD tooling such as GitHub Actions or Jenkins.
  • Hands-on experience designing, delivering, and maintaining large, distributed, production-grade applications in an enterprise setting.
  • Demonstrated ability to lead architecture and solution design across teams in agile, collaborative development environments.
  • Strong communication skills with the ability to lead technical conversations with non-technical business stakeholders and translate complex capabilities into measurable business outcomes.
  • Leverages domain expertise to improve enterprise- and organization-level capabilities.
  • A leader by example who delivers technical features and naturally engages with other leaders across organizations and disciplines.
  • Experience deploying third-party vendor software in a highly regulated enterprise environment.
  • Terraform for provisioning cloud infrastructure experience.
  • Helm for Kubernetes application deployment experience.
  • Evaluating generative AI applications experience.
  • OSS agent frameworks such as Strands Agents and LangGraph experience.
  • Observability tooling and distributed tracing in production environments experience.
  • Zero-trust security principles and secure-by-design development practices when building and deploying enterprise systems experience.
  • Experience operating across multiple projects at once.

What is a Must Have?
  • Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 6 additional years of software engineering experience.

What Is in It for You?
  • Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.
  • Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.