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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This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.
We’re looking for a Principal AI-Native Software Engineer who can turn complex business needs into intelligent, production-ready software.
You’ll work at the intersection of software engineering, agentic AI, LLM-powered applications, and enterprise automation, partnering directly with business and technical stakeholders to move ideas rapidly from concept to production. You’ll build scalable Python services, APIs, agentic workflows, and integrations that enable intelligent automation across AT&T.
This is not simply an AI experimentation role. We’re looking for an engineer who knows how to combine emerging AI capabilities with proven software engineering practices to deliver solutions that are secure, reliable, observable, maintainable, and built for production.
What You'll Do:
- Design and build production-grade AI-enabled applications, backend services, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django.
- Create agentic AI workflows using LangGraph or similar frameworks, including tool calling, routing, planning and execution, multi-step workflows, and human-in-the-loop patterns.
- Partner directly with business and technical stakeholders in a collaborative 2-in-a-box model, translating ambiguous business challenges into technical designs and working solutions.
- Integrate AI applications securely with enterprise APIs, databases, event streams, service gateways, and other internal platforms.
- Design reliable tool and service contracts for AI agents, including schemas, validation, idempotency, retries, rate limits, error handling, and access controls.
- Develop evaluation strategies for AI and agentic systems, including success criteria, regression testing, prompt/tool validation, guardrails, and release gates.
- Implement RAG, vector search, context engineering, structured outputs, and grounding techniques when appropriate to improve accuracy and usability.
- Build end-to-end solutions across backend services, databases, and front-end experiences using technologies such as Angular and other modern web frameworks.
- Apply secure-by-design practices including authentication, authorization, secrets management, least privilege, auditability, input validation, and PII-aware data handling.
- Build production observability with logging, metrics, distributed tracing, dashboards, alerting, and incident troubleshooting.
- Implement automated testing, CI/CD, Docker-based deployment, and resilient distributed-system patterns including retries, timeouts, circuit breakers, backpressure, and graceful degradation.
- Use AI coding assistants throughout the engineering lifecycle for code generation, refactoring, testing, debugging, and documentation while maintaining rigorous engineering standards.
What You'll Bring:
- A builder mindset with the ability to move quickly from an ambiguous business problem to a working technical solution.
- Strong understanding of AI-native software development, including how and where LLMs and agentic workflows provide meaningful value.
- Hands-on experience developing applications that use LLMs, structured prompting, function/tool calling, output validation, and grounding.
- Ability to build agentic solutions that go beyond simple chat interfaces and execute multi-step workflows, use tools, interact with systems, and manage state.
- Strong knowledge of software architecture, system design, API design, data modeling, distributed systems, and integration patterns.
- Experience designing software for production realities including security, scalability, resiliency, observability, maintainability, and operational support.
- Strong communication skills and the ability to explain technical decisions and tradeoffs to both engineering and non-technical business partners.
- An AI-augmented engineering approach, using modern AI development tools to accelerate delivery without sacrificing software quality.
What You'll Need:
8+ years of professional software engineering experience building and delivering production applications or services.
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, a related technical discipline, or equivalent practical experience.
- Strong Python development experience, ideally with FastAPI, Flask, or Django.
- Hands-on experience designing and developing REST APIs and backend/microservice architectures.
- Experience integrating applications with enterprise platforms, databases, APIs, or distributed systems.
- Strong knowledge of SQL and relational databases; NoSQL/document database experience is beneficial.
- Experience with unit testing, integration testing, automated testing, CI/CD, code review, and refactoring.
- Experience with Docker and deployment into cloud or enterprise environments.
- Working knowledge of production monitoring using structured logging, metrics, tracing, performance analysis, and incident troubleshooting.
- Understanding of secure API development, authentication/authorization, secrets management, least privilege, and audit logging.
- Hands-on experience integrating LLMs or Generative AI capabilities into software applications.
- Experience with tool/function calling, structured prompting, output validation, RAG, retrieval, or other grounding techniques.
- Demonstrated use of AI coding assistants as part of the software development lifecycle.
Preferred Qualifications:
- Hands-on experience with LangGraph or comparable agent orchestration frameworks.
- Experience designing multi-agent or multi-step agentic workflows.
- Experience with Temporal, Celery, Airflow, or other workflow/orchestration technologies.
- Knowledge of event-driven architectures using Kafka, SNS/SQS, Pub/Sub, or comparable technologies.
- Experience implementing RAG, embeddings, semantic/vector search, and vector databases in production environments.
- Experience with OAuth 2.0, OIDC, API gateways, or service mesh technologies.
- Experience developing reusable SDKs, internal developer platforms, AI tool libraries, or reference architectures.
- Experience with Angular or another modern JavaScript/TypeScript front-end framework.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40Time Type:
RegularLocation:
Alpharetta, Georgia, Atlanta, Georgia, Bothell, Washington, Dallas, Texas, Middletown, New Jersey, Plano, TexasSalary Range:
$155,400.00 - $261,100.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
See All 147+ Software Engineer AI Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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
- JPMorganChase13

- Apple9

- SpaceX7

- AMD5

- TeamViewer4

Top Industries Hiring
- Technology & Software
- Education
- Electronics & Hardware
- Banking & Financial Services
- E-Commerce & Online Marketplaces
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, Apple, and SpaceX, based on current listings on Migrate Mate as of November 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 83% of software engineer ai openings tied to Texas are remote or hybrid as of November 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 147+ Software Engineer AI Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs