Senior AI Software Engineer Jobs in Texas
Senior AI Software Engineer jobs in Texas are among the most actively recruited roles in the state's technology market, concentrated in enterprise software, defense contracting, semiconductor design, and financial technology across Austin, Dallas-Fort Worth, and Houston. Major employers with deep, lasting footprints in Texas include Dell Technologies, Lockheed Martin, and JPMorgan Chase, all of which maintain large engineering centers in the state. The most in-demand specialties are large language model development, MLOps infrastructure, and applied machine learning for real-time systems. Find a role that fits below and apply directly.
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Showing 5 of 115+ Senior AI Software Engineer jobs
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, Identity & Access Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities:
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- 8+ years of software development experience.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Strong understanding of computer science fundamentals, algorithms, and data structures.
- Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, and Microservices architectures.
- Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
- Proficiency in designing and implementing data models for relational databases.
- Experience with using relational database like MS SQL Server.
- Experience working on Cloud platform (AWS/GCP/Azure).
- Experience in Python/Golang and any front technologies like React and NodeJS
- Experience in Identity and Access Management.
- Experience to cloud services such as AWS S3, EC2, EKS, IAM, and Lambda.
- Experience in Cloud and Container based development (Gaia, Kubernetes).
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
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, Identity & Access Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities:
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- 8+ years of software development experience.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Strong understanding of computer science fundamentals, algorithms, and data structures.
- Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, and Microservices architectures.
- Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
- Proficiency in designing and implementing data models for relational databases.
- Experience with using relational database like MS SQL Server.
- Experience working on Cloud platform (AWS/GCP/Azure).
- Experience in Python/Golang and any front technologies like React and NodeJS
- Experience in Identity and Access Management.
- Experience to cloud services such as AWS S3, EC2, EKS, IAM, and Lambda.
- Experience in Cloud and Container based development (Gaia, Kubernetes).
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
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
See All 115+ Senior AI Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- JPMorganChase17
- SpaceX7
- AMD4
- CVS Health3
- TeamViewer3
Top Industries Hiring
- Technology & Software
- Education
- Electronics & Hardware
- Consulting & Professional Services
- Insurance
What Texas Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Texas.
- Bachelor's or master's degree in computer science, AI, or a related engineering discipline
- Five or more years of professional software engineering experience with at least two in AI or ML
- Hands-on production experience with PyTorch, TensorFlow, or equivalent deep learning frameworks
- Demonstrated ability to design and deploy scalable ML pipelines in cloud environments such as AWS or Azure
- Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation architectures
- Strong proficiency in Python and familiarity with MLOps tooling such as MLflow, Kubeflow, or similar
Senior AI Software Engineer Jobs in Texas: Frequently Asked Questions
How do you become a senior ai software engineer in Texas?
Texas does not require a state-issued license to work as a software engineer, so the path is driven by education and experience rather than credentialing boards. Most hiring managers in Texas expect a bachelor's degree in computer science, machine learning, or a closely related field, along with several years of progressively complex AI engineering work. Building a portfolio of deployed models, contributing to open-source ML projects, and earning cloud certifications from AWS or Google Cloud are the most effective ways to advance to a senior level in the Texas market.
How much do senior AI software engineers make in Texas?
Senior AI software engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in Texas?
Employers hiring senior ai software engineers in Texas right now include JPMorganChase, SpaceX, and AMD, based on current listings on Migrate Mate as of September 2026. Texas's concentration of defense primes, semiconductor firms, and major financial institutions means demand for senior AI engineers is distributed across sectors well beyond pure tech.
Which Texas cities have the most senior ai software engineer jobs?
Austin, Plano, and Dallas hold the most senior ai software engineer openings in Texas. Austin's dense cluster of technology headquarters and semiconductor companies drives the bulk of demand there, Dallas-Fort Worth's large financial services and telecommunications base sustains consistent hiring, and Houston adds openings through its energy technology and aerospace sectors, including significant engineering centers from companies like NASA's Johnson Space Center and major oil-and-gas operators investing in AI-driven operations.
Are there remote senior ai software engineer jobs in Texas?
Yes, and more than most fields. About 69% of senior ai software engineer openings tied to Texas are remote or hybrid as of September 2026, reflecting how naturally desk-based and tool-driven this work is. The roles most likely to be fully remote are those focused on model research, LLM development, and ML platform engineering, while positions that involve on-site GPU cluster management or embedded AI integration tend to require a physical presence.
How can I get hired as a senior ai software engineer in Texas with little or no experience?
The most realistic entry path is through an associate or junior machine learning engineer role, which large Texas employers like Dell Technologies, Texas Instruments, and American Airlines staff regularly. Building a public portfolio of end-to-end ML projects on GitHub is the credential that carries the most weight in the absence of formal work history. University co-op programs at UT Austin and Texas A&M feed directly into engineering pipelines at major Texas employers. Lateral moves from data analyst, software developer, or data scientist roles are common because they share overlapping tooling and allow candidates to demonstrate applied AI skills internally before taking on a senior title.
Where can I find and apply to senior ai software engineer jobs in Texas?
You can find and apply to senior ai software engineer jobs in Texas on Migrate Mate, which lists current openings tied to Texas employers. Find roles that fit your experience and apply directly to the ones that match.
See All 115+ Senior AI Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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