AI Research Engineer Jobs in Texas
AI Research Engineer jobs in Texas are among the most actively hired technical roles in the state, concentrated in artificial intelligence infrastructure, large-scale machine learning systems, and applied research for defense, energy, and enterprise software. Hiring is strongest in Austin, Dallas, and Houston, where employers like Dell Technologies, Texas Instruments, and ExxonMobil maintain established AI and data science teams. The most in-demand specialties include natural language processing, computer vision, and reinforcement learning, with openings at every level from recent graduates through principal researchers. 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.
See All 46 AI Research Engineer Jobs in Texas
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Where Texas roles are concentrated, by current openings.
AI Research Engineer 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
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in AI research engineer jobs across Texas.
- Master's or PhD in computer science, machine learning, or a related technical field
- Hands-on experience building and deploying deep learning models in production environments
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Strong mathematical foundation in linear algebra, probability, and optimization theory
- Experience with large language models, computer vision, or reinforcement learning systems
- Ability to communicate research findings clearly to both technical and non-technical audiences
AI Research Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ai research engineer in Texas?
The most direct path is earning a bachelor's degree in computer science, electrical engineering, or mathematics, followed by a master's or PhD with a research focus in machine learning or AI. Texas does not require a state-issued license for this role. Texas universities including UT Austin, Rice, and Texas A&M produce strong research pipelines, and large Texas employers regularly recruit directly from those graduate programs and research labs.
How much do AI research engineers make in Texas?
AI research engineers 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 research engineers in Texas?
Employers hiring ai research engineers in Texas right now include University of Texas at El Paso, AMD, and Rice University, based on current listings on Migrate Mate as of November 2026. Texas's concentration of defense contractors, energy majors, and enterprise technology firms means demand extends well beyond pure software companies into industries applying AI to physical systems and large-scale operations.
Which Texas cities have the most ai research engineer jobs?
Houston, El Paso, and Austin have the most ai research engineer openings in Texas. Austin's tech sector and university research ecosystem drive the highest concentration, while Dallas benefits from a dense corridor of enterprise software and financial services firms, and Houston's energy and medical center industries generate consistent demand for applied AI research roles.
Are there remote ai research engineer jobs in Texas?
Yes, and more than most fields. AI research engineering is largely desk-based and computationally focused, making it well-suited to remote and hybrid arrangements. About 69% of ai research engineer openings tied to Texas are remote or hybrid as of November 2026, reflecting how broadly distributed research teams have become. Roles involving model training, literature review, and algorithm development tend to be the most remote-friendly, while positions requiring on-site cluster access or lab hardware are typically in-person.
How can I get hired as a ai research engineer in Texas with little or no experience?
The most realistic entry point is a research internship or graduate research assistant role, which Texas employers like Texas Instruments, Dell, and major medical centers in the Texas Medical Center actively use to pipeline junior talent. Candidates without industry experience can also target adjacent roles such as machine learning engineer or data scientist to build applied credentials. A strong GitHub portfolio, published research, or a Kaggle competition record carries significant weight with Texas hiring teams when formal experience is thin.
Where can I find and apply to ai research engineer jobs in Texas?
You can find and apply to ai research engineer jobs in Texas on Migrate Mate, which lists current Texas openings. Find roles that fit your experience and target location, then apply directly to the employers posting them.
See All 46 AI Research Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Research Engineer Jobs