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

Generative AI Senior Delivery Lead (Hybrid) Job Overview We are seeking a results-driven Generative ... Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture ...

Senior Lead AI Developer Position Overview The Finance Technology AI Enablement team is seeking a ... Design and implement Generative AI, Machine Learning, automation, and complex agentic workflow ...

Senior Lead AI Developer Position Overview The Finance Technology AI Enablement team is seeking a ... Design and implement Generative AI, Machine Learning, automation, and complex agentic workflow ...

Generative AI Engineer with LangGraph experience Plano, TX- Fully Onsite from Day-1 Core Technical Skills: * Python Programming: Advanced proficiency in Python, including experience with asynchronous ...

Damco Solutions is seeking a Generative AI Specialist responsible for designing, developing, and ... programming skills in languages such as Python, TensorFlow, or PyTorch • Experience with deep ...

Senior AI Developer

Southlake, TX · On-site

$85 - $90/hr

Apply Generative AI strategies to reduce context switching and accelerate delivery across various engineering workflows. Translate low-level design artifacts (such as class structures, API contracts ...

Overview RealPage is accelerating the adoption of Generative AI and agentic engineering practices across its technology organization. The Internal AI Center of Excellence is responsible for enabling ...

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Generative Ai Developer information

See Plano, TX salary details

$18

$43

$96

How much do generative ai developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for generative ai developer in Plano, TX is $43.34, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $52.45 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 Plano, TX?

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

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

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

Infographic showing various Generative Ai Developer job openings in Plano, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $90,157 per year, or $43.3 per hour.

Generative AI Lead Engineer

Cognizant Technology Solutions

Dallas, TX • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

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About the role
As a Generative AI Engineer, you will make an impact by designing and building advanced AI-powered applications and scalable solutions using modern technologies such as .NET, React, Python, and large language models (LLMs). You will be a valued member of the engineering team, collaborating with cross-functional stakeholders to drive innovation and accelerate AI adoption across enterprise workflows.
In this role, you will:
  • Design and develop AI-powered web applications using Generative AI tools (e.g., Claude) and modern frameworks (.NET, React, Python)
  • Build and implement agentic AI solutions across the software development lifecycle (requirements, coding, testing, deployment, and code reviews)
  • Develop scalable architectures leveraging Retrieval-Augmented Generation (RAG) and integrate AI models into enterprise systems
  • Design and optimize prompts and orchestration frameworks (e.g., LangChain, LlamaIndex) to improve AI performance and outcomes
  • Deploy and manage AI-enabled applications on Azure, ensuring scalability, reliability, and compliance with enterprise standards
Work model:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Dallas, TX, Stamford, CT or Chicago, IL. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements.
What you need to have to be considered
  • Strong experience in Generative AI, LLMs, and prompt engineering
  • Hands-on experience building applications using .NET, React, Python, or similar technologies
  • Experience designing AI/ML architectures, including RAG-based pipelines and API integrations
  • Experience with model training, fine-tuning, and optimization for performance, scalability, and cost
  • Knowledge of cloud platforms (Azure preferred) and deploying AI-enabled applications
These will help you stand out
  • Experience with orchestration frameworks such as LangChain or LlamaIndex
  • Exposure to GANs, diffusion models, or advanced generative modeling techniques
  • Understanding of LLMOps, monitoring AI performance, and ensuring ethical and compliant AI usage
  • Experience working with structured and unstructured data pipelines
  • Banking domain experience

Compensation
The annual salary for this position ranges from $120,000 to $140,000, depending on experience and qualifications. This role is also eligible for Cognizant's discretionary annual incentive program, subject to performance and applicable plan terms.
Benefits
Cognizant offers a comprehensive benefits package, including:
  • Medical, Dental, Vision, and Life Insurance
  • Paid Holidays and Paid Time Off
  • 401(k) plan with company contributions
  • Short-term and Long-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer:The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
We're excited to meet people who share our passion for technology and innovation and who can make an impact in a variety of ways. Don't hesitate to apply, even if you meet most-but not all-of the requirements. We value transferable skills, diverse experiences, and fresh perspectives.
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, or any other work authorization requiring employer sponsorship.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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