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Generative Ai Engineer Jobs in Texas (NOW HIRING)

Northern Base

Generative AI Engineer

Irving, TX · On-site

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time Experience Required: 6+ Years Visa Type: USC / GC Only Interview Mode: In-person (Final Round) Must-Have ...

Prosum Inc.

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

Generative AI Engineer Location: DFW preferred or open to candidates working remotely in EST/CST timezones Salary Range: $120k to $165k About the Role We are seeking a highly skilled Generative AI ...

MDAEdge

Generative AI Engineer

Austin, TX · On-site

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

@Orchard

Senior Azure Generative AI Engineer

Dallas, TX · On-site

$95/hr

Senior Azure Generative AI Engineer Dallas TX @Orchard LLC is seeking a Senior Azure Generative AI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions using Microsoft ...

Apetan Consulting llc

Generative AI Engineer

Houston, TX · On-site

$55 - $60/hr

Generative AI Engineer Work Location: Houston, TX Duration: 6-12 Months Contract Work Mode: Onsite from Day 1 Pay Rate Range: $50/hr. - $60/hr. on C2C Interview: Face to Face Interview is Mandatory ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact. Collaboration with Teams * Partner with transformation, engineering, and business teams to tailor AI agents ...

V-CENTRIX-US LLC

AI Developer

Manor, TX · On-site

... Engineer (1 Opening) Experience: 12+ years of overall IT experience Relevant Experience: 3-4+ years of hands-on experience in AI/Generative AI Key Responsibilities & Skills: * Provide technical ...

SWBC

AI Engineer

Shavano Park, TX · On-site

$110 - $130/hr

Overview As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives ... You will work with emerging technologies--including agentic AI frameworks, generative AI models ...

GEI Consultants

AI Engineer

Dallas, TX

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Texas

Generative Ai Engineer information

See Texas salary details

$35.4K

$107.9K

$178.4K

How much do generative ai engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for generative ai engineer in Texas is $107,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,100.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

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

The most popular types of Generative Ai Engineer jobs in Texas are:

What are popular job titles related to Generative Ai Engineer jobs in Texas?

For Generative Ai Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in Texas look for?

The top searched job categories for Generative Ai Engineer jobs in Texas are:

What cities in Texas are hiring for Generative Ai Engineer jobs?

Cities in Texas with the most Generative Ai Engineer job openings:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $107,946 per year, or $51.9 per hour.

Generative AI Engineer

Northern Base

Irving, TX • On-site

Full-time

Posted 22 days ago

Job description

Hiring Alert | Generative AI Engineer

Location: Irving, TX (Onsite)
Employment Type: Full-Time
Experience Required: 6+ Years
Visa Type: USC / GC Only

Interview Mode: In-person (Final Round)

Must-Have Skills:

  • Python Programming with Major ML Libraries
  • Open-Source Generative AI LLMs, including Llama and Dolly
  • Machine Learning, NLP & Deep Learning
  • Neural Networks & Transformer Architectures
  • Generative AI Techniques
  • GANs & Text-to-Image Generation
  • Text Generation Models
  • SQL & Data Wrangling
  • Data Cleaning & Feature Engineering
  • Model Training, Evaluation & Optimization
  • AWS, Azure, or GCP Experience

Key Responsibilities:

  • Design, develop, and implement advanced AI solutions for complex business problems
  • Collaborate with engineers, researchers, and product managers to translate business requirements into AI solutions
  • Gather, clean, and prepare high-quality data for model training and evaluation
  • Implement advanced deep learning, NLP, computer vision, and Generative AI techniques
  • Evaluate AI model architectures and hyperparameters for performance optimization
  • Address model bias and support responsible AI development

Good-to-Have:

  • On-premises and cloud development experience
  • CI/CD experience
  • Experience with state-of-the-art AI/ML techniques
  • Strong understanding of ethical AI and responsible model development

Education:

  • Bachelor's Degree in Computer Science or related field