Fintech E-3 Sponsorship Jobs in Texas
Texas is one of the most active states for fintech E-3 visa sponsorship, with major employers concentrated in Austin, Dallas, and Houston. Companies like Dell Technologies Financial Services, JPMorgan Chase, and a growing cluster of fintech startups regularly sponsor E-3 workers in software engineering, data analytics, and financial technology roles.
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Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is on a hybrid-basis, candidates must be within a commutable distance to the Irvine, CA Area or Plano, TX Area.
Responsibilities
- Designs, develops, and delivers solutions that meet business line and enterprise requirements.
- Serves as a recognized authority and internal expert in applied AI, shaping the organization’s technical direction and strategy.
- Oversees large, complex and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
- Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
- Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
- Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
- Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
- Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
- Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
- Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
- Performs other duties and projects assigned.
Requirements
- Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; C# experience preferred.
- Two (2) + years’ experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
- Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to business solutions.
- Demonstrated success delivering at least one large-scale ML/AI application or service on a cloud platform (Azure, AWS, or GCP).
- Strong understanding of ML algorithms, deep learning architectures, data structures, and applied optimization techniques.
- Familiarity with MLOps practices and tools (Docker, Kubernetes, MLflow, etc.) for scalable AI/ML deployments.
- Ability to translate research and experimental AI approaches into practical, enterprise-grade solutions.
- Excellent analytical, problem-solving, and communication skills, with the ability to influence stakeholders and drive alignment.
- Advanced degree (M.S. or Ph.D.) in AI, ML, Data Science, or a related field.
- Experience with transformers, edge AI, federated learning, or real-time inference systems.
- Track record of contributions to open-source AI projects, patents, or published research.
Why work for #teamloanDepot:
- Competitive compensation package based on experience, skillset and overall fit for #TeamloanDepot.
- Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
- Work with other passionate, purposeful, and customer-centric people.
- Extensive internal growth and professional development opportunities including tuition reimbursement.
- Comprehensive benefits package including Medical/Dental/Vision.
- Wellness program to support both mental and physical health.
- Generous paid time off for both exempt and non-exempt positions.
About LoanDepot
loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $170,000 and $233,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.
We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Position Summary
Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is on a hybrid-basis, candidates must be within a commutable distance to the Irvine, CA Area or Plano, TX Area.
Responsibilities
- Designs, develops, and delivers solutions that meet business line and enterprise requirements.
- Serves as a recognized authority and internal expert in applied AI, shaping the organization’s technical direction and strategy.
- Oversees large, complex and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
- Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
- Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
- Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
- Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
- Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
- Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
- Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
- Performs other duties and projects assigned.
Requirements
- Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; C# experience preferred.
- Two (2) + years’ experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
- Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to business solutions.
- Demonstrated success delivering at least one large-scale ML/AI application or service on a cloud platform (Azure, AWS, or GCP).
- Strong understanding of ML algorithms, deep learning architectures, data structures, and applied optimization techniques.
- Familiarity with MLOps practices and tools (Docker, Kubernetes, MLflow, etc.) for scalable AI/ML deployments.
- Ability to translate research and experimental AI approaches into practical, enterprise-grade solutions.
- Excellent analytical, problem-solving, and communication skills, with the ability to influence stakeholders and drive alignment.
- Advanced degree (M.S. or Ph.D.) in AI, ML, Data Science, or a related field.
- Experience with transformers, edge AI, federated learning, or real-time inference systems.
- Track record of contributions to open-source AI projects, patents, or published research.
Why work for #teamloanDepot:
- Competitive compensation package based on experience, skillset and overall fit for #TeamloanDepot.
- Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
- Work with other passionate, purposeful, and customer-centric people.
- Extensive internal growth and professional development opportunities including tuition reimbursement.
- Comprehensive benefits package including Medical/Dental/Vision.
- Wellness program to support both mental and physical health.
- Generous paid time off for both exempt and non-exempt positions.
About LoanDepot
loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $170,000 and $233,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.
We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
E-3 Fintech Job Roles in Texas
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Search Fintech Jobs in TexasFintech E-3 Sponsorship Jobs in Texas: Frequently Asked Questions
Which fintech companies in Texas sponsor E-3 visas?
Several large financial technology employers in Texas have a track record of E-3 visa sponsorship, including JPMorgan Chase and Charles Schwab in Dallas, and Dell Technologies Financial Services in Austin. Beyond those names, Texas hosts a growing number of payments, lending, and insurtech startups that file Labor Condition Applications for specialty occupation roles. Sponsorship patterns vary by company size and hiring cycle, so checking current LCA filings is the most reliable way to verify activity.
Which Texas cities have the most fintech E-3 sponsorship jobs?
Austin leads in fintech startup density and has attracted headquarters from companies like NerdWallet and Q2 Holdings, making it a strong market for E-3 candidates. Dallas-Fort Worth follows closely, anchored by major financial institutions and payment processors including American Airlines Federal Credit Union and Corelogic. Houston has a smaller but growing fintech presence tied to energy finance and banking technology. San Antonio is an emerging market with USAA driving demand for financial services technology talent.
What types of fintech roles typically qualify for E-3 sponsorship in Texas?
E-3 sponsorship requires the role to qualify as a specialty occupation, meaning it must normally require at least a bachelor's degree in a specific field. In fintech, roles that commonly meet this standard include software engineers, data scientists, quantitative analysts, cybersecurity specialists, and financial analysts. Product management and compliance roles can also qualify when the position's duties require specialized degree-level knowledge. Generalist or entry-level roles where any degree field satisfies the requirement are less likely to qualify.
How do I find fintech E-3 sponsorship jobs in Texas?
Migrate Mate is built specifically for this search. You can filter by visa type, industry, and state to surface fintech roles in Texas where employers have indicated E-3 sponsorship. This saves significant time compared to manually reviewing job listings that rarely specify visa support. Migrate Mate also provides context on which employers have filed LCAs historically, helping you prioritize applications toward companies with demonstrated sponsorship activity in fintech.
Are there any Texas-specific considerations for E-3 sponsorship in fintech?
Texas has no state income tax, which affects total compensation calculations but does not change E-3 eligibility or the sponsorship process itself. One practical consideration is that Texas fintech employers, particularly in Austin, operate in a competitive hiring market where many companies are familiar with E-3 sponsorship given the high proportion of international talent in technology roles. However, smaller fintech startups may have limited experience with the visa process, so it is worth confirming with HR early in the application process whether the company is prepared to sponsor.
What is the prevailing wage for E-3 fintech jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.