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Generative Ai Architect Jobs (NOW HIRING)

Neshent Technologies

AI Architect

Houston, TX · Remote

$60.25 - $79.25/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Highlands, TX · Remote

$55 - $72.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Nassau Bay, TX · Remote

$53 - $69.75/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Deer Park, TX · Remote

$56.50 - $74.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Noblesoft Technologies

AI Architect

Paramus, NJ · On-site

We are seeking a highly accomplished AI Architect with deep expertise in Google AI technologies and Generative AI to lead the design and implementation of enterprise-scale AI solutions. This role ...

Neshent Technologies

AI Architect

West University Place, TX · Remote

$58.25 - $77/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

West, TX · Remote

$55.75 - $73.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Channelview, TX · Remote

$54.25 - $71.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

South Houston, TX · Remote

$57.50 - $76/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

TX · Remote

$56.75 - $74.75/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Pasadena, TX · Remote

$57.50 - $75.75/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

La Porte, TX · Remote

$59.25 - $78/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Houston, TX · Remote

$60.25 - $79.25/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Bellaire, TX · Remote

$56.75 - $74.75/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

North Houston, TX · Remote

$58.25 - $76.75/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Friendswood, TX · Remote

$55 - $72.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

OK · Remote

$49 - $64.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Southside Place, TX · Remote

$56.25 - $74.25/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Cloverleaf, TX · Remote

$54 - $71.25/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Galena Park, TX · Remote

$53.50 - $70.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

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Generative Ai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do generative ai architect jobs pay per year?

As of Aug 19, 2026, the average yearly pay for generative ai architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What are the main challenges a Generative AI Architect faces when designing scalable AI solutions?

Generative AI Architects often encounter challenges related to balancing computational efficiency with model accuracy, especially when deploying large-scale models in production environments. Ensuring data privacy and ethical AI use is also critical, as these systems may generate content based on sensitive or proprietary data. Additionally, collaborating effectively with cross-functional teams—such as data scientists, engineers, and business stakeholders—is essential to align technical solutions with organizational goals. Staying up-to-date with rapid advancements in generative AI techniques is another ongoing challenge in this dynamic field.

What are the key skills and qualifications needed to thrive as a Generative AI Architect?

To thrive as a Generative AI Architect, you need strong expertise in machine learning, deep learning, and software engineering, usually supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS or Azure, as well as experience with MLOps tools, is typically required. Creative problem-solving, strong communication, and cross-functional collaboration are vital soft skills for designing innovative AI solutions and guiding teams. These skills ensure the architect can build scalable, cutting-edge generative AI systems that address business needs and drive technological advancement.

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

AspectGenerative Ai ArchitectData Scientist
CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Industry UsageAI product development, machine learning projectsData analysis, predictive modeling, business insights
Search/Comparison IntentUnderstanding AI architecture roles, technical skillsData analysis skills, project scope

While both roles involve working with data and advanced technologies, a Generative Ai Architect specializes in designing and implementing AI models that generate content, whereas a Data Scientist focuses on analyzing data to extract insights and build predictive models. The roles often overlap in skills like programming and machine learning, but their primary focus and work environments differ.

How to become a generative AI architect?

To become a generative AI architect, one should have a strong background in computer science, machine learning, and deep learning, with experience in neural network models such as transformers and GANs. Proficiency in programming languages like Python, familiarity with AI frameworks like TensorFlow or PyTorch, and knowledge of data preprocessing are essential. Gaining certifications in AI or machine learning and working on relevant projects can also enhance qualifications for this role.
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What states have the most Generative Ai Architect jobs?

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What job categories do people searching Generative Ai Architect jobs look for?

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Generative Ai Architect jobs near you
Infographic showing various Generative Ai Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

AI Architect

Neshent Technologies

Houston, TX • Remote

$60.25 - $79.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced AI Architect to lead the design and delivery of enterprise-scale AI, cloud modernization, and digital transformation initiatives. The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will drive AI strategy, architect scalable and secure solutions, modernize legacy applications, and lead the implementation of intelligent enterprise platforms.

Roles and Responsibilities
  • Lead enterprise application modernization, cloud transformation, and AI architecture initiatives.
  • Design scalable, secure, and highly available solutions across Microsoft Azure and Google Cloud Platform (GCP).
  • Define cloud architecture, modernization roadmaps, governance frameworks, and technology standards aligned with business objectives.
  • Modernize legacy applications using cloud-native architectures, microservices, APIs, containers, and Azure PaaS services.
  • Lead migration of enterprise applications from on-premises environments to Azure/GCP.
  • Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI technologies.
  • Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.
  • Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic search.
  • Establish security, scalability, performance, reliability, and operational best practices for cloud and AI platforms.
  • Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer-facing digital solutions.
  • Mentor development teams and provide technical leadership throughout solution delivery.
Required Qualifications
  • 10+ years of software engineering and enterprise application delivery experience.
  • 5+ years of Azure and/or Google Cloud Platform (GCP) architecture experience.
  • 3+ years of hands-on experience delivering AI and Generative AI solutions.
  • Proven experience leading enterprise digital transformation and customer-facing platform initiatives.
  • Strong expertise in cloud architecture, application modernization, and enterprise solution design.
  • Experience designing microservices-based, API-driven, cloud-native applications.
  • Strong knowledge of architectural governance, cloud security, and operational best practices.
  • Excellent leadership, stakeholder management, and solution architecture skills.

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