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Generative Ai Associate Jobs in Dallas, TX (NOW HIRING)

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Responsibilities : • Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality ...

Ai/ML Engineer

Irving, TX · On-site

$85 - $107/hr

Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on ... Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is ...

AWS Enterprise Architect

Richardson, TX · On-site

$58.75 - $77.25/hr

Required Skill and Experience ⦁ AWS Certified Solutions Architect (Associate/Professional ... Generative AI Proof of Concepts (POCs) using programming languages such as Java,.NET, or Python ...

... and integrate generative AI into enterprise cloud environments. * Strong communicator able to ... Piyush Verma Associate Staff Consultant Email: Contact: +1 LinkedIn:

Define solution architectures that integrate LLMs, generative AI, and traditional ML with ... Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record ...

New

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on ... Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is ...

Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on ... Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is ...

Senior AI Product Associate, IT

Dallas, TX · On-site +1

$104K - $160K/yr

Apply generative-AI capabilities relevant to professional services - LLMs, document intelligence, agentic workflows, and structured output generation. * Test and validate AI models, APIs, and tooling ...

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Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for generative ai associate in Dallas, TX is $16.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $17.74 per hour, depending on experience, location, and employer.

What is a generative AI associate?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

How does a generative AI associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

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

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.

What are the most commonly searched types of Generative Ai jobs in Dallas, TX?

The most popular types of Generative Ai jobs in Dallas, TX are:

What job categories do people searching Generative Ai Associate jobs in Dallas, TX look for?

The top searched job categories for Generative Ai Associate jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Generative Ai Associate jobs?

Cities near Dallas, TX with the most Generative Ai Associate job openings:

Infographic showing various Generative Ai Associate job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $34,737 per year, or $16.7 per hour.

Data Scientist- Associate

KPMG US

Dallas, TX • On-site

$58K - $58K/yr

Full-time

Posted 11 days ago


Job description

Job Summary:
KPMG is a renowned company providing audit, tax, and advisory services across important industries. They are currently seeking a Data Scientist to join their Audit Technology Alliance organization, focusing on developing generative AI solutions and collaborating with teams to enhance technology applications.
Responsibilities:
• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred
• Familiarity with LLMs and frameworks like LangChain is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.