Fintech Green Card Sponsorship Jobs in Texas
Texas is one of the most active states for fintech Green Card sponsorship, driven by major financial technology hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, JPMorgan Chase, and a growing roster of fintech startups and payment processors regularly file immigrant visa petitions for skilled technology and finance professionals.
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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.
Green Card Fintech Job Roles in Texas
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Search Fintech Jobs in TexasFintech Green Card Sponsorship Jobs in Texas: Frequently Asked Questions
Which fintech companies in Texas sponsor Green Card visas?
Several large employers with significant Texas operations are known Green Card sponsors in fintech, including JPMorgan Chase, Dell Technologies, Charles Schwab (headquartered in Westlake), and payment technology firms like Stripe and Payoneer with Austin offices. USCIS PERM and I-140 filing records, publicly available through the Department of Labor, show consistent sponsorship activity from both established financial institutions and mid-size fintech companies operating across the state.
Which Texas cities have the most fintech Green Card sponsorship jobs?
Austin leads Texas for fintech Green Card sponsorship activity, particularly in payments, lending technology, and financial software. Dallas-Fort Worth is the second major concentration, home to major bank technology operations, insurance technology firms, and financial data companies. Houston contributes a smaller but active share, mainly through energy-adjacent fintech and banking technology teams. San Antonio has a growing financial services technology presence tied to USAA and its vendor ecosystem.
What types of fintech roles typically qualify for Green Card sponsorship in Texas?
Roles that most commonly appear in Texas Green Card sponsorship filings in fintech include software engineers, data engineers, machine learning engineers, cybersecurity analysts, quantitative analysts, and financial systems architects. These positions generally require at least a bachelor's degree in a relevant technical or financial field and meet the specialty occupation standard used by employers filing EB-2 or EB-3 immigrant visa petitions. Product management and compliance roles with strong technical requirements also appear regularly.
How do I find fintech Green Card sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters jobs by visa type, including Green Card sponsorship, and by industry, including fintech. You can browse verified fintech Green Card sponsorship jobs in Texas directly on Migrate Mate, which surfaces roles from employers with documented sponsorship history in the state. This is more targeted than general job searches because results are filtered to show employers actively willing to support immigrant visa processes for Texas-based fintech roles.
Are there any Texas-specific considerations for Green Card sponsorship in fintech?
Texas has no state income tax, which affects how employers structure compensation packages but does not change the federal Green Card sponsorship process. One practical consideration is that Texas fintech employers span a wide range from large regulated financial institutions to early-stage startups, and smaller companies may lack the internal HR infrastructure to manage PERM labor certification independently, sometimes relying on outside immigration counsel. Candidates should confirm whether a prospective employer has sponsored Green Cards previously before investing significant time in the process.
What is the prevailing wage for Green Card 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.