AI Researcher Jobs in Texas
AI Researcher jobs in Texas are among the most active in the country, with demand concentrated in machine learning, natural language processing, and computer vision across the technology, defense, energy, and healthcare sectors at every level from research associate through principal scientist. Austin, Dallas, and Houston anchor the market, with employers like Dell Technologies, Lockheed Martin, and MD Anderson Cancer Center maintaining a sustained presence and consistent hiring for these roles. Texas-based AI research teams are especially focused on applied research in energy optimization, autonomous systems, and clinical AI. Find a role that fits below and apply directly.
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About this role:
Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist (AI Research Scientist Lead – Foundation Models & Agentic AI) to drive advanced AI initiatives. This role will lead the development and evaluation of next-generation Foundation Models, Agentic AI solutions, and Generative AI systems, ensuring they are robust, scalable, and aligned with regulatory expectations. This is a high-impact opportunity to operate at the intersection of AI innovation and model risk oversight, partnering with business, technology, and risk leaders to bring cutting-edge AI capabilities into real-world financial applications that serve millions of customers.
In this role, you will:
- Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation.
- Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
- Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs.
- Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
- Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
- Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
- Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.
Required Qualifications:
- 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research / research innovation or industry experience building foundational models.
- Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.
- Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
- Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
- Experience with transferring foundation models, LLMs, and agentic AI systems in production
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
2 Nov 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
About this role:
Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist (AI Research Scientist Lead – Foundation Models & Agentic AI) to drive advanced AI initiatives. This role will lead the development and evaluation of next-generation Foundation Models, Agentic AI solutions, and Generative AI systems, ensuring they are robust, scalable, and aligned with regulatory expectations. This is a high-impact opportunity to operate at the intersection of AI innovation and model risk oversight, partnering with business, technology, and risk leaders to bring cutting-edge AI capabilities into real-world financial applications that serve millions of customers.
In this role, you will:
- Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation.
- Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
- Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs.
- Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
- Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
- Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
- Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.
Required Qualifications:
- 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research / research innovation or industry experience building foundational models.
- Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.
- Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
- Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
- Experience with transferring foundation models, LLMs, and agentic AI systems in production
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
2 Nov 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
See All 15 AI Researcher Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Researcher JobsAI Researcher Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Researcher Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Investment & Asset Management
What Texas Employers Look For
The qualifications that appear most often in AI researcher jobs across Texas.
- PhD or master's degree in computer science, AI, or a closely related technical field
- Demonstrated research experience with publication record or deployed AI systems
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale model training and evaluation pipelines
- Ability to collaborate with engineering and product teams on applied research problems
- Familiarity with domain-specific data in energy, defense, healthcare, or enterprise software
AI Researcher Jobs in Texas: Frequently Asked Questions
How do you become a ai researcher in Texas?
Most ai researcher roles in Texas require at least a master's degree, and senior positions typically expect a PhD in computer science, machine learning, statistics, or a related field. Texas has no state-issued license for this role. Hiring managers at Texas universities, national laboratories like Sandia and Argonne's Texas sites, and major tech and energy employers generally look for a strong publication record or a portfolio of shipped AI systems alongside formal credentials.
How much do AI researchers make in Texas?
AI researchers in Texas earn a median of about $121,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,480 for the lowest 10% to over $204,250 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai researchers in Texas?
Employers hiring ai researchers in Texas right now include University of Texas at El Paso, AMD, and USAA, based on current listings on Migrate Mate as of November 2026. Texas's mix of large defense contractors, energy majors, academic medical centers, and headquartered technology firms means ai researcher demand is spread across distinctly different research areas depending on the employer.
Which Texas cities have the most ai researcher jobs?
Austin, El Paso, and San Antonio have the most ai researcher openings in Texas. Austin leads because of its dense technology sector and proximity to the University of Texas, Dallas draws research roles tied to telecom, fintech, and corporate headquarters, and Houston's openings are driven heavily by energy companies and the Texas Medical Center, one of the largest medical research complexes in the world.
Are there remote ai researcher jobs in Texas?
Yes, and more than most fields. AI research is largely computational, making it well suited to remote or hybrid arrangements. About 67% of ai researcher openings tied to Texas are remote or hybrid as of November 2026, reflecting the broader tech industry's flexibility for this type of work. Roles focused on pure modeling and experimentation skew most remote, while positions requiring access to specialized hardware clusters or sensitive defense environments are more likely to require on-site presence.
How can I get hired as a ai researcher in Texas with little or no experience?
The most realistic entry path is through a research assistantship or internship during a graduate program at a Texas institution such as UT Austin, Texas A&M, or Rice University, where direct industry connections to Austin tech firms, Houston energy companies, and Dallas corporate labs are built in. Large Texas employers including Dell Technologies and several defense contractors run internship-to-hire pipelines specifically for early-career researchers. Moving laterally from a machine learning engineer or data scientist role is another recognized route, especially if you can show independent research contributions through open-source projects or conference papers.
Where can I find and apply to ai researcher jobs in Texas?
You can find and apply to ai researcher jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring markets. Find roles that fit your background and apply directly to the employers posting them.
See All 15 AI Researcher Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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