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Generative Ai Analyst Jobs in Spring, TX (NOW HIRING)

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Strong foundation in supervised/unsupervised learning, deep learning, document understanding, text classification, and semantic analysis • Generative AI & LLMs: Hands-on experience with foundation ...

Halliburton

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$99K - $137K/yr

... generative AI applications. This position provides an opportunity to gain hands-on experience ... Strong analytical, problem-solving, and communication skills. * Ability to work effectively within ...

Halliburton

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$99K - $137K/yr

... generative AI applications. This position provides an opportunity to gain hands-on experience ... Strong analytical, problem-solving, and communication skills. * Ability to work effectively within ...

Halliburton

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$90K - $123K/yr

... generative AI applications. This position provides an opportunity to gain hands-on experience ... Strong analytical, problem-solving, and communication skills. * Ability to work effectively within ...

Deloitte

Oracle Gen AI Manager

Houston, TX

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... and analytic technologies? We're looking for someone that can increase the effectiveness of ...

Mwe

Senior Manager, AI & Analytics

Houston, TX

Working knowledge of generative AI, intelligent automation, prompt engineering, and responsible AI ... Analytics, Computer Science, or related field required * Master's degree, MBA, CPA, CMA, or ...

Radiant System, Inc

AI Business Lead

Houston, TX · On-site

Knowledge of Generative AI, prompt engineering, AI productivity tools, and responsible AI practices . * Familiarity with Databricks, Azure, cloud data platforms, and analytics workflows . * Strong ...

Hp

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving ... data analytics, and statistical modeling. Preferred Certifications Programming Language/s ...

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving ... analytics, and statistical modeling. Preferred Certifications • Programming Language/s ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Master's/Ph.D. in Computer Science, ML, or related field. * 5-7+ years of industry experience in applying DNN, generative AI, and predictive analytics. * Python mastery (TensorFlow/PyTorch ...

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Showing results 21-40

All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Spring, TX

Generative Ai Analyst information

See Spring, TX salary details

$45.1K

$81.6K

$113.7K

How much do generative ai analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for generative ai analyst in Spring, TX is $81,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,600.00 per year, depending on experience, location, and employer.

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

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

What are the key skills and qualifications needed to thrive as a generative AI analyst?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills in machine learning and natural language processing can earn higher salaries.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.
What are popular job titles related to Generative Ai Analyst jobs in Spring, TX? For Generative Ai Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Generative Ai Analyst jobs in Spring, TX look for? The top searched job categories for Generative Ai Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Generative Ai Analyst jobs? Cities near Spring, TX with the most Generative Ai Analyst job openings:
Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in Spring, TX as of June 2026, with employment types broken down into 55% Full Time, 38% Part Time, 4% Temporary, and 3% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $78,816 per year, or $37.9 per hour.

Enterprise Application AI Architect - Houston, TX

Arrowminds inc

Houston, TX • On-site

Other

Posted 5 days ago

Job description

Position: Enterprise Application AI Architect

Location: Houston, TX

Duration: 6+ months

Work Model: Hybrid – 4 days onsite and 1 day remote per week

Start date: ASAP

Job Description: Key Responsibilities

  • Application Modernization & Cloud Transformation Assess and modernize legacy applications using cloud-native architecture patterns.
  • Design and implement scalable solutions using Azure PaaS services and Gemini Enterprise for CX Lead migration of on-premises applications and services to Microsoft Azure.
  • Transform monolithic applications into microservices and API-driven architectures.
  • Develop modernization roadmaps aligned to business goals and customer experience objectives.
  • Establish architectural standards, governance, security, and operational best practices.
  • Experience with Azure and Google Cloud Platform Cloud Platforms Architect resilient, scalable, and highly available solutions on Azure.
  • Design enterprise cloud platforms leveraging Azure App Services, AKS, Azure Functions, API Management, Azure SQL, Cosmos DB, and Integration Services.
  • Implement Infrastructure as Code using Terraform and Bicep.
  • Drive cloud adoption strategies focused on reliability, security, cost optimization, and performance.

 

AI & Generative AI Solutions

  • Design and implement AI-enabled business capabilities using Gemini Enterprise for CX, Azure AI Services and Azure OpenAI.
  • Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems.
  • Leverage Azure AI Search, vector databases, Semantic Kernel, and Retrieval-Augmented Generation (RAG) architectures.
  • Establish AI governance, responsible AI frameworks, security controls, and monitoring standards.
  • Identify opportunities to improve customer and employee experiences through AI-powered automation and insights.

Integration & Data Architecture

  • Design enterprise integration solutions using Azure API Management, Logic Apps, Service Bus, Event Grid, and Event Hubs.
  • Enable hybrid connectivity between on-premises and cloud platforms.
  • Architect real-time and batch synchronization solutions across enterprise applications.
  • Design modern data architectures leveraging Azure SQL, Cosmos DB, Microsoft Fabric, Azure Synapse, and Azure Data Factory.

DevSecOps & Platform Engineering

  • Establish CI/CD pipelines using Azure DevOps and GitHub Actions.
  • Embed security and compliance controls throughout the software development lifecycle.
  • Implement monitoring and observability solutions using Azure Monitor, Log Analytics, and Application Insights.
  • Promote DevSecOps, SRE, and platform engineering best practices.

 

Required Qualifications

  • 10+ years of experience in software engineering, architecture, and enterprise application delivery.
  • 5+ years of hands-on Azure/Google cloud architecture experience.
  • 3+ years of experience designing and implementing AI/Generative AI solutions.
  • Proven success leading large-scale application modernization and cloud transformation initiatives.
  • Experience delivering customer-facing digital platforms and enterprise integration solutions.

Regards

Rajesh

Arrowminds Inc

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