Senior AI Product Designer Jobs in Texas
Senior AI Product Designer jobs in Texas are among the most actively sought roles in the state's technology sector, concentrated in enterprise software, financial technology, and defense technology firms. Austin, Dallas, and Houston anchor the majority of openings, with major employers such as Dell Technologies, AT&T, and USAA building out dedicated AI product teams. The most in-demand specialties are AI-driven user experience design, conversational interface design, and human-centered machine learning product work at the senior and principal levels. Find a role that fits below and apply directly.
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Showing 5 of 68+ Senior AI Product Designer jobs
As an Applied AI/ML Executive Director within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you.
Job responsibilities
- Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Coaching other AI/ML team members towards both personal and professional success
Required qualifications, capabilities, and skills
- PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or with at least 5 years of industry experience or an MS with at least 7 years of industry or research experience in the field.
- Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
- Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Preferred qualifications, capabilities , and skills:
- Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking, Reinforcement Learning or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
- Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
As an Applied AI/ML Executive Director within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you.
Job responsibilities
- Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Coaching other AI/ML team members towards both personal and professional success
Required qualifications, capabilities, and skills
- PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or with at least 5 years of industry experience or an MS with at least 7 years of industry or research experience in the field.
- Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
- Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Preferred qualifications, capabilities , and skills:
- Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
- Knowledge in search/ranking, Reinforcement Learning or Meta Learning
- Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
- Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
See All 68 Senior AI Product Designer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find JobsSenior AI Product Designer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Senior AI Product Designer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software11
- Education5
- Artificial Intelligence5
- Banking & Financial Services3
- Investment & Asset Management3
What Texas Employers Look For
The qualifications that appear most often in senior AI product designer jobs across Texas.
- Five or more years of product design experience with at least two years focused on AI or ML products
- Demonstrated portfolio showing end-to-end AI product design work from research through delivery
- Proficiency in Figma, prototyping tools, and design systems used in production environments
- Experience collaborating directly with machine learning engineers and data scientists on cross-functional teams
- Strong background in user research methods applied to complex, data-driven product surfaces
- Bachelor's degree in interaction design, human-computer interaction, or a closely related field
Senior AI Product Designer Jobs in Texas: Frequently Asked Questions
How do you become a senior ai product designer in Texas?
Reaching the senior level in Texas typically requires a foundation in interaction design or human-computer interaction, followed by several years building and shipping AI-powered product experiences. Texas does not license this role through a state credentialing board, so advancement is portfolio-driven. Designers working toward senior titles in the state generally accumulate experience on cross-functional teams alongside engineers and product managers, then document that work in a case-study portfolio that shows strategic thinking alongside visual craft.
Which companies hire senior ai product designers in Texas?
Employers hiring senior ai product designers in Texas right now include Photon, Amazon, and ADT, based on current listings on Migrate Mate as of July 2026. Texas's concentration of enterprise technology, financial services, and defense contractors means many of these roles sit inside large organizations building internal AI tools as well as consumer-facing products.
Which Texas cities have the most senior ai product designer jobs?
Austin, Houston, and Dallas hold the most senior ai product designer openings in Texas. Austin leads because of its dense cluster of technology companies and startup studios, while Dallas draws volume from enterprise software firms and financial technology headquarters, and Houston contributes through its energy technology and healthcare technology sectors where AI product investment has grown steadily.
Are there remote senior ai product designer jobs in Texas?
Yes, and more than most design fields, because the work centers on digital artifacts that travel well across time zones. About 45% of senior ai product designer openings tied to Texas are remote or hybrid as of July 2026, reflecting how broadly distributed AI product teams have become. The research and synthesis phases of the role are the most commonly performed remotely, while design critiques and stakeholder reviews are often kept on a hybrid schedule.
How can I get hired as a senior ai product designer in Texas with little or no experience?
The most realistic entry path is through a junior or mid-level product designer role at a Texas technology company, then building AI-specific work into your portfolio by volunteering for internal AI initiatives or contributing to projects that involve model output surfaces. Large Austin and Dallas employers in the enterprise software space frequently hire associate product designers and run structured mentorship tracks. Adjacent roles such as UX researcher, interaction designer, or product analyst at firms with active AI programs are common stepping stones, and completing a recognized human-centered AI certificate gives your application a concrete credential to point to.
Where can I find and apply to senior ai product designer jobs in Texas?
You can find and apply to senior ai product designer jobs in Texas on Migrate Mate, which lists current openings across the state. Search the listings, find roles that fit your background and target location, and apply directly to the ones that match.
See All 68 Senior AI Product Designer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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