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

Raas Infotek LLC

Senior AI/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Build and optimize Generative AI, LLM, NLP, and predictive analytics solutions. * Develop RAG ... Azure AI Engineer Associate * Databricks Certified Machine Learning Professional

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Aprio

Senior AI Product Associate, IT

Houston, TX · On-site +1

$104K - $160K/yr

Aprio is a progressive, fast-growing firm looking for a Senior AI Product Associate, IT to join ... Apply generative-AI capabilities relevant to professional services - LLMs, document intelligence ...

Pwc

US Tech - AI Engineering Senior Associate

Houston, TX · On-site

$55K - $187K/yr

... and validate Generative AI agents and data pipelines, promoting reliability, scalability, and ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

ASCENSUS

Agentic AI Delivery Leader

Houston, TX · Hybrid

... associate productivity, and operational performance. The Senior Manager establishes the delivery ... generative AI solutions in production; 1+ year delivery agentic AI solutions in production

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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 7, 2026, the average hourly pay for generative ai associate in Houston, TX is $16.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $17.69 per hour, depending on experience, location, and employer.

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 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.

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.
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Generative Ai Associate jobs near you
Infographic showing various Generative Ai Associate job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $34,607 per year, or $16.6 per hour.

Senior AI/ML Engineer

Raas Infotek LLC

Texas City, TX • On-site

$89K - $122K/yr

Other

Posted yesterday

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Job description

Job Title: Senior AI/ML Engineer

Location: Texas
Experience: 10+ Years
Employment Type: Contract

Job Description

We are seeking an experienced Senior AI/ML Engineer with 10+ years of experience in designing, developing, and deploying machine learning and AI solutions. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, Generative AI, LLMs, and cloud platforms, with hands-on experience taking AI models from development to production.

Key Responsibilities
  • Design, develop, train, and deploy machine learning models for enterprise applications.
  • Build and optimize Generative AI, LLM, NLP, and predictive analytics solutions.
  • Develop RAG pipelines, vector search, embeddings, and AI/ML workflows.
  • Use frameworks such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
  • Develop and integrate AI solutions using OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Build and deploy scalable ML models using Docker, Kubernetes, and CI/CD pipelines.
  • Perform data preprocessing, feature engineering, model evaluation, and optimization.
  • Develop APIs and microservices to integrate ML models with enterprise applications.
  • Implement MLOps practices for model deployment, monitoring, versioning, and retraining.
  • Collaborate with data scientists, software engineers, architects, and business stakeholders.
  • Ensure AI solutions meet requirements for scalability, security, performance, and responsible AI.
Required Skills
  • 10+ years of experience in AI/ML Engineering, Data Science, or related fields.
  • Strong hands-on experience with Python.
  • Strong knowledge of Machine Learning and Deep Learning algorithms.
  • Experience with TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
  • Hands-on experience with Generative AI, LLMs, NLP, RAG, and Vector Databases.
  • Experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Strong experience with SQL and data processing.
  • Experience with Docker, Kubernetes, Git, and CI/CD.
  • Knowledge of MLOps, model deployment, monitoring, and automation.
  • Strong analytical, problem-solving, and communication skills.
Preferred Skills
  • Experience with LangChain, LlamaIndex, Pinecone, FAISS, or OpenSearch.
  • Experience building AI Agents and Agentic AI workflows.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with prompt engineering and LLM fine-tuning.
  • Experience in Banking, Healthcare, Insurance, Retail, or Financial Services domains.
Education

Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Nice to Have Certifications
  • AWS Certified Machine Learning – Specialty
  • Google Professional Machine Learning Engineer
  • Microsoft Certified: Azure AI Engineer Associate
  • Databricks Certified Machine Learning Professional

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