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Generative Ai Developer Jobs in Houston, TX (NOW HIRING)

Neshent Technologies

AI Architect

North Houston, TX · Remote

$58.25 - $76.75/hr

Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI ... Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer ...

Neshent Technologies

AI Architect

La Porte, TX · Remote

$59.25 - $78/hr

Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI ... Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer ...

Neshent Technologies

AI Architect

Meadows Place, TX · Remote

$54.25 - $71.50/hr

Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI ... Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer ...

Neshent Technologies

AI Architect

Houston, TX · Remote

$60.25 - $79.25/hr

Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI ... Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer ...

Hearst

AI Newsroom Developer

Houston, TX · On-site

Build, evaluate, pilot and integrate generative AI and automation tools, including skills and ... Engineering and development * Identify opportunities where AI can augment journalism (e.g ...

Hearst Newspapers

AI Newsroom Developer

Houston, TX · On-site

Build, evaluate, pilot and integrate generative AI and automation tools, including skills and ... Engineering and development * Identify opportunities where AI can augment journalism (e.g ...

Exponent Inc.

Senior AI Engineer (Ph.D. required)

Houston, TX · On-site

$101K - $139K/yr

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth ... Building generative AI applications, including retrieval-augmented generation (RAG) systems, LLM ...

Resource Consultings Services Inc

AI Architect IV

Houston, TX · On-site

$60.75 - $79/hr

... engineering, architecture, and enterprise application delivery. * 5+ years of hands-on Azure/Google cloud architecture experience. * 3+ years of experience designing and implementing AI/Generative AI ...

Exponent Inc.

Senior AI Engineer (Ph.D. required)

Houston, TX · On-site

$53.50 - $69/hr

About Exponent Exponent is the only premium engineering and scientific consulting firm with the ... Building generative AI applications, including retrieval-augmented generation (RAG) systems, LLM ...

Exponent Inc.

Senior AI Engineer (Ph.D. required)

Houston, TX · On-site

$53.50 - $69/hr

About Exponent Exponent is the only premium engineering and scientific consulting firm with the ... Building generative AI applications, including retrieval-augmented generation (RAG) systems, LLM ...

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Principal AI/ML Software Engineer Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA ... Key Responsibilities • Build and deploy Generative AI features using foundation models (AWS ...

Koch Industries

AI Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... core Generative AI building blocks - large language models, prompt engineering, retrieval-augmented generation (RAG), embeddings, and vector stores • Proven experience communicating AI and ...

nFolks Data Solutions

AI Architect-Houston, TX

Houston, TX · On-site

$60.75 - $79/hr

... engineering, architecture, and enterprise application delivery. * 5+ years of hands-on Azure/Google cloud architecture experience. * 3+ years of experience designing and implementing AI/Generative AI ...

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Generative Ai Developer information

See Houston, TX salary details

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How much do generative ai developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for generative ai developer in Houston, TX is $43.25, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $52.36 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 Houston, TX?

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

What job categories do people searching Generative Ai Developer jobs in Houston, TX look for?

The top searched job categories for Generative Ai Developer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Generative Ai Developer jobs?

Cities near Houston, TX with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Houston, TX as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $86,919 per year, or $41.8 per hour.

AI Architect

Neshent Technologies

North Houston, TX • Remote

$58.25 - $76.75/hr

Full-time

This job post has expired 1 day ago. 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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