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

Principal AI Data Scientist

Spring, TX · On-site

$147K - $230K/yr

Relevant experience must involve Generative AI and related technologies including machine learning. data analytics, and statistical modeling. Preferred Certifications Programming Language/s ...

Identify opportunities to leverage AI, Generative AI, automation, and analytics to improve business processes and operational efficiency. * Support Agile delivery, UAT, release planning, and ...

Generative AI experience with enterprise level tools such as Copilot, Claude, and ChatGPT. * Legal Specific Generative AI workflow tools experience such as Vincent, Legora, and Harvey. LANGUAGE ...

The AI Business Lead will be responsible for training FP&A teams on tools such as Microsoft Power ... Working knowledge of AI concepts, generative AI use cases, prompt engineering, responsible AI ...

... analytics, and generative AI. You will also have a strong product management background and a proven record in delivering product strategy and impactful solutions across complex portfolios. This role ...

Maintain working knowledge of Generative AI, AI agents, copilots, and automation platforms so you ... Analyze existing workflows and identify opportunities for automation and operational improvement

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

Maintain working knowledge of Generative AI, AI agents, copilots, and automation platforms so you ... Analyze existing workflows and identify opportunities for automation and operational improvement

Showing results 41-60

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:
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.

Principal AI Data Scientist

Hp

Spring, TX • On-site

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 8 days ago


HP rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

69th of 157 rated electronics manufacturers


Job description

Principal AI Data Scientist

Description -

About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.

As a Principal Data Scientist focused on Generative AI, you will lead multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.


Responsibilities
Leads organization-wide team or teams of other data science professionals in complex projects to create GenAI-based models and digital products.

Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
Manages relationships with senior business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
Ties insights into effective visualizations communicating business value and innovation potential.
Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
Represents the data science team for all phases of larger and more-complex development projects.
Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended

  • PhD related to AI and 5+ years of experience or Master's degree related to AI and 10+ years of experience.

  • Relevant experience must involve Generative AI and related technologies including machine learning. data analytics, and statistical modeling.


Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills

  • Strong foundation in data science and core machine learning concepts.

  • Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.

  • Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.

  • Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.

  • Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.

  • Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.

  • Able to explain technical concepts (e.g., LLMs) to non-technical audiences.

  • You suggest pragmatic solutions that are as simple as possible-even if that means no AI is required.


Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

The base pay range for this role is $147,050 to $230,850 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including;

  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


What HP employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


HP logo

About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939