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Generative Ai Certification Jobs in Texas (NOW HIRING)

Stackruit Ltd.

Generative AI Engineer

Dallas, TX · On-site

$100 - $130/hr

Work on various project phases, from ideation to deployment, across generative AI and traditional ... Microsoft certifications: AI-102 (Azure AI Engineer Associate) or DP-100 (Azure Data Scientist ...

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ... Azure, AWS, Google Cloud, or Databricks AI certifications. Technical Environment * Languages:

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$97K - $133K/yr

Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ... Azure, AWS, Google Cloud, or Databricks AI certifications. Technical Environment * Languages:

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

AI/ML or Cloud certifications are a plus. Technical Skills * Python * Machine Learning * Deep Learning * Generative AI * Large Language Models (LLMs) * Prompt Engineering * Retrieval-Augmented ...

SWBC

AI Engineer

Shavano Park, TX · On-site

$110 - $130/hr

AWS Certified Generative AI Developer - Professional experience, fine‑tuning, or hosting open‑source large language models internally. * Experience with AWS Bedrock and Bedrock AgentCore.

New

Winaxis

AI Engineer

Dallas, TX · On-site

Opportunity to work on cutting-edge AI and Generative AI projects. * Mentorship from experienced AI engineers. * Learning and certification support. * Career growth in a fast-paced AI environment.

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional ... AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure ...

SWBC

AI Engineer

San Antonio, TX · On-site

AWS Certified Generative AI Developer - Professional * Experience training, fine-tuning, or hosting open-source large language models internally. * Experience with AWS Bedrock and Bedrock AgentCore.

Swbc

AI Engineer

San Antonio, TX

AWS Certified Generative AI Developer - Professional * Experience training, fine-tuning, or hosting open-source large language models internally. * Experience with AWS Bedrock and Bedrock AgentCore.

SWBC

AI Engineer

San Antonio, TX

AWS Certified Generative AI Developer - Professional * Experience training, fine-tuning, or hosting open-source large language models internally. * Experience with AWS Bedrock and Bedrock AgentCore.

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Required : • Experience architecting, developing, deploying, and maintaining Azure generative AI ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

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Generative Ai Certification information

What is a generative AI certification?

A Generative AI Certification is a credential that demonstrates your knowledge and skills in developing, deploying, and understanding generative artificial intelligence models, such as those used for creating text, images, audio, or video. These certifications typically cover foundational AI concepts, deep learning, neural networks, and hands-on experience with tools like GPT, DALL-E, or similar models. Earning a certification can enhance your credibility and job prospects in AI-related fields, proving your ability to work with cutting-edge generative technologies.

What are the key skills and qualifications needed to thrive as a generative AI specialist, and why are they important?

To thrive as a Generative AI Specialist, you need a solid background in computer science, machine learning, and deep learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in tools like TensorFlow, PyTorch, and experience with generative models such as GANs or transformers, as well as certifications in AI, are typically required. Strong problem-solving, creativity, and effective communication skills help distinguish top performers in this field. These skills are essential for developing innovative AI solutions, collaborating with cross-functional teams, and addressing complex challenges in generative AI applications.

What are some common challenges professionals face when applying generative AI techniques in real-world projects?

Professionals working with generative AI often encounter challenges such as ensuring data quality, managing computational resource demands, and aligning model outputs with business objectives. Successfully deploying generative models requires close collaboration with data engineers, domain experts, and stakeholders to address ethical considerations and ensure outputs are both accurate and useful. Additionally, adapting quickly to the fast-evolving landscape of generative AI tools and frameworks is crucial for staying effective and competitive in the field.

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

AspectGenerative Ai CertificationData Scientist
Required credentialsCertification programs, online coursesDegree in data science, statistics, or related fields
Work environmentTraining, project-based, AI-focused teamsResearch, analysis, data modeling in various industries
Employer usageTech companies, AI startups, training providersTech firms, finance, healthcare, consulting
Search intentLearning AI generative models, certification programsAnalyzing data, building models, insights

Generative Ai Certification focuses on training individuals in AI generative models through courses and certifications, often for skill validation. Data Scientists typically hold degrees and perform data analysis, modeling, and insights across industries. While both roles involve AI and data, certifications are more about skill validation, whereas data scientists are involved in comprehensive data analysis and modeling tasks.

Is generative AI certification worth it?

Generative AI certification can enhance a job seeker's credentials by validating skills in AI model development, data handling, and relevant tools like Python or TensorFlow. It can improve employability in roles such as AI engineer or data scientist, especially as demand for AI expertise grows. However, practical experience and project work are also important factors in securing related positions.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI researcher, where skills in neural networks, deep learning, and AI tools are essential. These positions often involve developing, training, and deploying AI models in various industries like technology, healthcare, and finance.

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

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

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

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

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

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

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

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

Generative Ai Certification jobs near you
Infographic showing various Generative Ai Certification job openings in Texas as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Generative AI Engineer

Stackruit Ltd.

Dallas, TX • On-site

$100 - $130/hr

Other

Posted 25 days ago

Job description

Be an Azure AI Rockstar: Design & Deploy Cutting-Edge AI Solutions (US) Help clients envision the future with AI at Lantern! Become an Azure AI Engineer and:

Collaborate with clients to design and build impactful AI solutions on Microsoft Azure.

Work on various project phases, from ideation to deployment, across generative AI and traditional data science.

You’re a Perfect Fit If You Have:
  • Strong communication skills – translate complex AI concepts for everyone.
  • Teamwork pro – collaborate with business stakeholders to understand their needs.
  • Experience building and deploying AI solutions on Azure.
  • Familiarity with Azure technologies: Machine Learning, OpenAI Service, AI Search, Databricks, SQL Database, Cognitive Services.
  • Python, PySpark, or C# programming skills are a must.
  • Solid grasp of machine learning algorithms and generative AI.
  • Experience with prompt engineering and RAG techniques is a plus.
  • Data wrangling skills and data engineering expertise.
Bonus Points for:
  • Bachelor’s in computer science or a related field.
  • Experience automating tasks with Azure tools (Function Apps, Data Factory, Power Automate, Logic Apps).
  • Microsoft certifications: AI-102 (Azure AI Engineer Associate) or DP-100 (Azure Data Scientist Associate) or Databricks ML Data Scientist.
  • Familiarity with GitHub or Azure DevOps.
  • Prior consulting and business development experience.
Why Lantern?
  • Fun, diverse, and inclusive work environment.
  • Work on challenging projects with cutting-edge technologies.
  • Competitive salary, benefits package, and training opportunities.
  • Be part of a team that values its customers and employees!
Ready to take your AI skills to the next level? Apply today!
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