AI Specialist Jobs in Texas
AI Specialist jobs in Texas are among the most active in the country, concentrated in technology, energy, financial services, and defense sectors, with openings from entry-level data analysts through senior ML engineers and AI architects. Austin, Dallas, and Houston lead hiring, anchored by major employers such as Dell Technologies, AT&T, and ExxonMobil, all of which maintain large AI and data science functions in the state. The most in-demand specialties are machine learning engineering, natural language processing, and computer vision applied to enterprise and industrial use cases. Find a role that fits below and apply directly.
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Wells Fargo is seeking an experienced Forward Deployed AI Specialist to help shape the future of AI-powered work across Commercial Banking and Corporate & Investment Banking. This is a hands-on individual contributor opportunity to combine AI expertise with the ability to partner directly with business stakeholders to solve complex, high-value problems.
As a Forward Deployed AI Specialist, you will embed with business, product, and operational teams to understand real-world workflows, identify opportunities for agentic AI, and rapidly design and prototype solutions that deliver measurable value. You will work at the intersection of business, technology, data, and risk — building solutions that are innovative, practical, and deployable within a highly regulated environment.
In this role, you will:
- Partner directly with business, product, and operational teams to understand workflows, pain points, controls, and opportunities for transformation Design, develop, and prototype agentic AI solutions that improve productivity, decision-making, and operational effectiveness
- -selecting the right intelligent solution pattern (ML model, GenAI, agents, or no AI) and defining success criteria up front. Build working prototypes with Product and Tech to show the art of the possible and test value with real users and data.
- Translate business requirements into technical designs, workflows, and proof-of-concept solutions
- Leverage modern AI techniques including large language models (LLMs), agentic systems, retrieval-augmented generation (RAG), tool use, orchestration frameworks, and evaluation methodologies
- Work with Risk, Compliance, Legal, Privacy, Information Security, and other control partners to ensure solutions are explainable, auditable, and aligned with governance standards
- Contribute reusable patterns, capabilities, tools, evaluations, and reference architectures that can be leveraged across multiple business domains
- Stay current on emerging AI technologies, frameworks, and best practices while helping raise AI fluency across the organization
- Drive solutions from concept through implementation with a strong focus on measurable business outcomes
Required Qualifications:
- 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of experience in software development, AI/ML, data science, solution architecture, or a related technical discipline
Desired Qualifications:
- Professional experience in a highly regulated environment
- Understanding of modern AI technologies, including Large Language Models (LLMs), Agentic and multi-agent architectures, Retrieval-Augmented Generation (RAG), Prompt engineering and evaluation frameworks
- Experience within commercial banking, corporate banking, capital markets, lending, client onboarding, financial crimes, deal execution, sales/origination, trading, or related financial services domains
- Experience building AI-powered solutions that have achieved measurable business impact
- Experience in rapid prototyping in Python, Notebooks or low-code tools
- Experience translating business needs into technical solutions
- Experience with cloud-based AI platforms, enterprise data ecosystems, and production AI deployment patterns
- Knowledge of model governance, AI risk management, responsible AI, privacy, and information security practices
- Strong communication and stakeholder management skills with the ability to engage effectively across business, technology, and control functions
- Proven ability to operate in highly collaborative, cross-functional environments
Job Expectations:
- This position requires on-site presence at one of the listed locations
- This position is not eligible for Visa sponsorship
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. $159,000.00 - $254,000.00
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:
3 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 115+ AI Specialist Jobs in Texas
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Find AI Specialist JobsAI Specialist Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Specialist Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Meridial56

- University of Texas at El Paso4

- Rice University3

- AMD2

- Vanguard2

Top Industries Hiring
- Education
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in AI specialist jobs across Texas.
- Bachelor's or master's degree in computer science, data science, or a related technical field
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Proficiency in Python and at least one additional programming language such as R or SQL
- Demonstrated ability to design, train, and deploy predictive models in production environments
- Experience working with large-scale datasets using cloud platforms such as AWS, Azure, or Google Cloud
- Strong communication skills to translate AI findings for non-technical business stakeholders
AI Specialist Jobs in Texas: Frequently Asked Questions
How do you become a ai specialist in Texas?
Becoming an ai specialist in Texas typically starts with a bachelor's degree in computer science, data science, statistics, or a related field, though many roles accept equivalent demonstrated skills. There is no state-issued license required to work as an ai specialist in Texas. Most Texas employers look for candidates who have completed graduate coursework or independent projects in machine learning, and industry certifications from AWS, Google, or Microsoft Azure strengthen applications considerably.
Which companies hire ai specialists in Texas?
Employers hiring ai specialists in Texas right now include Meridial, University of Texas at El Paso, and Rice University, based on current listings on Migrate Mate as of November 2026. Texas's concentration of energy companies, defense contractors, and Fortune 500 headquarters means ai specialist roles here often focus on industrial AI, predictive maintenance, and large-scale enterprise applications alongside more traditional software-driven positions.
Which Texas cities have the most ai specialist jobs?
Austin, Dallas, and Houston account for the largest share of ai specialist openings in Texas. Austin's dense technology startup and enterprise software ecosystem drives the bulk of listings, while Dallas draws heavily from financial services, telecommunications, and corporate headquarters, and Houston's energy and healthcare industries generate consistent demand for specialists focused on industrial AI and clinical data applications.
Are there remote ai specialist jobs in Texas?
Yes, and more than most fields. About 94% of ai specialist openings tied to Texas are remote or hybrid as of November 2026, reflecting how much of the work involves coding, model development, and data analysis that translates well to distributed teams. The roles most likely to remain fully on-site are those requiring access to proprietary on-premise infrastructure or real-time hardware integration.
How can I get hired as a ai specialist in Texas with little or no experience?
The most realistic entry path is a junior data analyst or associate machine learning role, which Texas employers such as large energy companies and financial institutions use as a pipeline for ai talent. Building a public GitHub portfolio with end-to-end ML projects is the single clearest signal for hiring managers evaluating candidates without work history. Many Texas technology firms and healthcare systems also run rotational early-career programs where candidates with strong fundamentals move into dedicated AI functions after an initial generalist placement.
Where can I find and apply to ai specialist jobs in Texas?
You can find and apply to ai specialist jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Find roles that fit your background and apply directly to the employers posting them.
See All 115+ AI Specialist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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