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Generative Ai Developer Jobs in Connecticut (NOW HIRING)

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 ...

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 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 ...

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

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

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 ...

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 ...

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.

AI Solutions Architect

HomeServe USA

Norwalk, CT โ€ข On-site

$63.25 - $83.50/hr

Full-time

Posted 7 days ago


Job description

Position Overview:

The AI Solutions Architect is a leadership role integrating strategic technology planning, solution architecture, and enterprise architecture across all areas of the business. This role is responsible for creating the overall technical vision and architecture for enterprise AI solutions that address business needs and support the organizationโ€™s broader technology strategy.

The AI Solutions Architect designs, describes, and governs the enterprise architecture that enables AI products developed and delivered by the AI engineering and product teams. The role focuses on API integration design, data architecture, large language model deployment patterns, conversational AI platform integration, security, scalability, reliability, and observability.

Working closely with the AI team, Enterprise Architecture, Infrastructure Architecture, Data, Cybersecurity, product leaders, and business stakeholders, this position ensures that AI solutions integrate effectively with the enterprise technology ecosystem and align with established architectural standards, data strategies, security policies, and technology roadmaps.

ย 

Responsibilities:

  • Create the overall technical vision and architecture for enterprise AI solutions that address business needs.
  • Create and maintain documentation of the AI technology ecosystem, architecture, integrations, data flows, and platform dependencies.
  • Define scalable and secure architecture patterns for generative AI, large language models, machine learning, conversational AI, and related enterprise services.
  • Design API and integration architectures connecting AI products with enterprise applications, data platforms, third-party services, and legacy systems.
  • Define data architecture requirements for AI solutions, including data access, movement, quality, lineage, privacy, and governance.
  • Establish architectural patterns for large language model deployment, model services, retrieval-augmented generation, grounding, inference, and prompt management.
  • Provide architectural guidance for integrating conversational AI platforms with digital channels, voice platforms, contact center technologies, enterprise systems, and customer data.
  • Collaborate with AI product and engineering teams, Enterprise Architecture, Infrastructure, Data, and Cybersecurity to translate business and product requirements into scalable technical solutions.
  • Provide architecture oversight for multiple concurrent AI initiatives and ensure alignment with enterprise technology standards, security policies, and strategic roadmaps.
  • Evaluate and recommend AI platforms, model services, integration technologies, data services, and reusable enterprise capabilities.
  • Research emerging AI technologies and recommend long-range architecture strategies and standards that support the Companyโ€™s business goals.

Essential Functions:

Essential Job Function

% of Time on Function

Create and maintain enterprise and solution architecture for AI products, platforms, and shared AI capabilities

ย 30%

Design API integrations, data flows, service interactions, and architectural patterns connecting AI solutions to the enterprise ecosystem

ย 25%

Partner with AI product, engineering, data, infrastructure, cybersecurity, and business teams to define requirements and provide architectural guidance

ย 20%

Establish architecture standards, governance, documentation, security requirements, and non-functional requirements for enterprise AI solutions

ย 15%

Evaluate emerging AI technologies, conversational AI platforms, model services, and reusable enterprise capabilities

ย 10%

Total

100%

Job Requirements:

  • Bachelorโ€™s degree in Computer Science or a related discipline; Masterโ€™s degree preferred.
  • Minimum of 12 years of experience in systems architecture, solution architecture, systems integration, software engineering, or an equivalent combination of education and work experience.
  • Experience providing technology direction and architectural guidance for enterprise-wide solutions.
  • Experience designing architectures for AI-powered applications, generative AI, machine learning, or conversational AI solutions.
  • Familiarity with large language model deployment patterns, including managed model services, privately hosted models, retrieval-augmented generation, grounding, inference, and prompt management.
  • Experience integrating conversational AI platforms with enterprise applications, digital channels, voice platforms, contact center technologies, or customer data.
  • Expertise in API architecture, web services, microservices, event-driven architecture, system integrations, and enterprise integration best practices.
  • Strong understanding of data architecture fundamentals, including data access, modeling, movement, quality, lineage, privacy, and governance.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud and their AI, data, and integration services.
  • Understanding of enterprise architecture principles, including scalability, reliability, security, privacy, and observability.
  • Familiarity with responsible AI, AI governance, model lifecycle management, and AI risk management.
  • Ability to create architecture diagrams, data-flow diagrams, integration specifications, technical standards, and architecture roadmaps.
  • Solid understanding of the software development lifecycle, architecture governance, change control, and problem management processes.
  • Excellent communication, leadership, collaboration, and analytical skills, with the ability to work effectively with technical teams, business stakeholders, and all levels of management.
  • Strong influencing, problem-solving, team-building, and mentoring skills.
  • Proactive, results-oriented, and capable of operating as a senior technical subject matter expert.

Minimum Physical Requirements:ย 

The physical demands described represent those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions of the position for which they work. While performing the duties of this position, the employee is regularly required to listen, talk, and hear. The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls while executing tasks like working on a computer or talking on the telephone.ย  The employee is occasionally required to stand; walk; sit; and reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus. The noise level in the work environment is usually moderate to low.

This job description is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.ย 

Salary Range (Norwalk, CT): $125,932.60 - $167,910.14

Annual Bonus Potential: 10%

HomeServe USA is an equal opportunity employer.

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