Software Engineer AI Jobs in Texas
Software Engineer AI jobs in Texas are among the most actively recruited technology roles in the state, concentrated in enterprise software, defense, semiconductor, and energy-tech sectors with demand at every level from early-career through principal engineer. Austin, Dallas, and Houston lead hiring volume, with established employers such as Dell Technologies, Texas Instruments, and IBM maintaining large engineering workforces across the state. The most in-demand specialties right now are machine learning infrastructure, natural language processing, and applied AI for industrial and energy applications. Find a role that fits below and apply directly.
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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 117+ Software Engineer AI Jobs in Texas
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Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Software Engineer AI Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- JPMorganChase17

- SpaceX7

- AMD4

- Apple3

- CVS Health3

Top Industries Hiring
- Technology & Software
- Education
- Electronics & Hardware
- Consulting & Professional Services
- Insurance
What Texas Employers Look For
The qualifications that appear most often in software engineer AI jobs across Texas.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience building or fine-tuning large language models or ML pipelines
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience deploying AI models to production using cloud platforms like AWS, Azure, or Google Cloud
- Familiarity with MLOps practices including model monitoring, versioning, and CI/CD workflows
- Strong collaborative skills for cross-functional teams working alongside product and data engineering
Software Engineer AI Jobs in Texas: Frequently Asked Questions
How do you become a software engineer ai in Texas?
There is no state-issued license required to work as a software engineer ai in Texas, so the path runs through education and demonstrated technical skills. Most Texas employers expect at least a bachelor's degree in computer science, data science, or a closely related field, with a master's degree increasingly preferred for roles focused on model research. Building a portfolio of AI projects, contributing to open-source ML repositories, or completing graduate coursework at Texas universities like UT Austin or Texas A&M strengthens a candidate's profile considerably.
How much do software engineer AIs make in Texas?
Software engineer AIs 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 software engineer ais in Texas?
Employers hiring software engineer ais in Texas right now include JPMorganChase, SpaceX, and AMD, based on current listings on Migrate Mate as of September 2026. Texas's large defense, semiconductor, and enterprise software base means many of these employers are building internal AI capabilities rather than relying solely on outside vendors.
Which Texas cities have the most software engineer ai jobs?
Austin, Plano, and Dallas have the highest concentration of software engineer ai openings in Texas. Austin's dense startup and big-tech presence drives the largest share of pure AI engineering roles, while Dallas attracts enterprise and financial-tech demand, and Houston's energy and industrial sectors are generating growing investment in applied AI for operational systems.
Are there remote software engineer ai jobs in Texas?
Yes, and more than most fields. About 69% of software engineer ai openings tied to Texas are remote or hybrid as of September 2026, reflecting the highly portable nature of AI model development and research work. The roles most likely to stay fully remote are those focused on model training, evaluation, and ML pipeline engineering, while positions requiring close collaboration with hardware teams or on-site infrastructure tend to be hybrid or on-site.
How can I get hired as a software engineer ai in Texas with little or no experience?
The most realistic entry path is through a new-graduate or rotational engineering program at a large Texas employer, where AI teams often onboard recent graduates alongside experienced engineers. Dell Technologies, Texas Instruments, and major Austin-area tech firms run structured early-career programs that accept candidates with strong academic projects or internship experience rather than full-time AI work history. Lateral moves from software engineering, data engineering, or data science roles are also common, and completing a recognized AI or ML specialization strengthens applications considerably.
Where can I find and apply to software engineer ai jobs in Texas?
You can find and apply to software engineer ai jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search the listings for roles that match your experience level and specialty, then apply directly to the ones that fit.
See All 117+ Software Engineer AI Jobs in Texas
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