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

ZipStaff Inc.

Senior Lead AI Developer

Irving, TX · Remote

$56 - $60/hr

Senior Lead AI Developer. Location: Remote (U.S.). Employment Type: Contract (W2 through ZipStaff ... Design and implement Generative AI, Machine Learning, automation, and complex agentic workflow ...

New

Aquent

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

Lead the integration and application of Generative AI coding assistants throughout the System ... Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Citi

Principal Generative AI Engineer, SVP

Irving, TX · On-site

Position Overview Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the AI Automation ...

Cogent IBS, Inc

Director of AI/ML

Flower Mound, TX · On-site

$220K/yr

... Generative AI, Agentic AI, and Robotic Process Automation (RPA) initiatives. The Director of AI/ML will be responsible for defining the enterprise AI strategy, architecture, engineering standards ...

New

NTT DATA, Inc.

AI Engineering Associate Director

Plano, TX · On-site

$151.40 - $202.50/hr

AI Engineering Associate Director We are seeking an experienced AI Engineer to design, build, test ... Design, develop, and implement AI and generative AI solutions across primarily healthcare, life ...

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 ...

GEI Consultants

AI Engineer

Dallas, TX · On-site

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 Developer JobsGenerative Ai Developer Jobs in Frisco, TX

Generative Ai Developer information

See Frisco, TX salary details

$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for generative ai developer in Frisco, TX is $42.39, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $51.30 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 Frisco, TX?

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

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

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

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

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

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Frisco, TX as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $88,165 per year, or $42.4 per hour.

Senior Lead AI Developer

ZipStaff Inc.

Irving, TX • Remote

$56 - $60/hr

Contractor

Posted 3 days ago

New

Job description

Job Title: Senior Lead AI Developer.
Location: Remote (U.S.).
Employment Type: Contract (W2 through ZipStaff).

About the Opportunity:
ZipStaff is seeking a Senior Lead AI Developer to join the Finance Technology AI Enablement team at a major healthcare organization.
This is a hands-on technical leadership role. You will work independently with business leaders and SMEs to understand current Finance processes and design AI-driven solutions that transform how those processes operate. You must be equally comfortable architecting complex distributed AI/ML systems and presenting roadmaps to business and IT leadership.

What You’ll Do:
  • Partner directly with business leaders and SMEs to understand current processes, pain points, and objectives.
  • Design and propose AI-enabled solutions that transform and automate business processes end-to-end.
  • Create automation, AI, and ML architecture and detailed technical designs; lead the build-out of those solutions.
  • Design and implement Generative AI, Machine Learning, automation, and complex agentic workflow solutions.
  • Build high-performing semantic layers using RAG, Knowledge Graphs, and GraphRAG.
  • Enable natural-language querying (NLP) against large-volume databases with complex table relationships.
  • Architect and implement financial data processing and analytics solutions enabled by AI/ML.
  • Develop analytics AI capabilities including forecasting, fraud detection, and prediction models.
  • Drive an AI-first architecture approach across data-processing and business-process automation.
  • Design solutions for high-volume processing using event-driven frameworks.
  • Present technical concepts, designs, and roadmaps to business leaders and large IT audiences.
  • Provide technical leadership and mentorship within the AI Enablement team.

Required Qualifications:
  • 8+ years of software / AI / ML development experience, including cloud and distributed architecture.
  • Hands-on experience with major cloud platforms: Azure, GCP, and AWS.
  • Experience with Kubernetes and container orchestration.
  • Experience with event-driven frameworks/platforms and high-volume data processing.
  • Extensive experience designing and implementing GenAI and Machine Learning solutions.
  • Experience building complex agentic workflows and automation solutions.
  • Experience with financial data processing and analytics enabled by AI/ML.
  • Experience building semantic layers using RAG, Knowledge Graphs, and GraphRAG.
  • Experience enabling NLP-based querying against large, complex relational databases.
  • Experience with analytics AI use cases such as forecasting, fraud detection, and prediction.
  • Ability to work independently with minimal oversight and manage multiple stakeholders.
  • Excellent communication and presentation skills with business and IT leadership.
  • Must be legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications:
  • Prior experience in Finance Technology or financial services.
  • Track record leading AI transformation initiatives from concept through production.
  • Experience mentoring developers and driving technical best practices.

About ZipStaff:
ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success.
To apply, please submit your resume highlighting your GenAI/ML architecture experience, RAG / Knowledge Graph work, and any Finance domain AI delivery.