Most jobs, most competition
Startups, big-tech AI offices, and UT Austin spinouts make Austin the deepest AI job market in Texas — and the one where a public portfolio matters most.
Where the AI jobs are in Texas, what they pay, and how to land one — across Austin's startup scene, Dallas's enterprise and defense corridor, and Houston's applied-AI industries.
AI jobs in Texas span seven main role types — from AI/ML engineers at $130k–$220k to research scientists above $300k — with Austin, Dallas, and Houston each hiring for a different slice of the market.
| Role | Texas base salary | Hiring hotspots |
|---|---|---|
| AI / ML engineer | $130k–$220k | Austin, Dallas, remote |
| LLM / applied AI engineer | $140k–$230k | Austin startups, big-tech offices |
| Data scientist | $110k–$170k | All metros, enterprise-heavy in Dallas |
| MLOps / AI infrastructure engineer | $130k–$200k | Austin, Dallas |
| AI research scientist | $150k–$300k+ | Austin (UT-adjacent), defense labs |
| Autonomy / robotics engineer | $140k–$220k | Dallas–Fort Worth defense tech |
| AI product manager | $140k–$200k | Austin, Dallas |
Level-by-level salary detail is in our AI engineer career guide.
Startups, big-tech AI offices, and UT Austin spinouts make Austin the deepest AI job market in Texas — and the one where a public portfolio matters most.
Enterprise ML teams in telecom, fintech, and logistics, plus defense tech like Shield AI. Steadier hiring, strong pay, security clearances open extra doors.
Energy optimization, Texas Medical Center AI research, and aerospace. Fewer openings, but domain expertise faces far less competition.
Full ecosystem breakdown on our Texas AI cities page; the employer landscape is mapped in AI companies in Texas.
Ship a portfolio of deployed AI projects, target the city that matches your specialty, and reach employers through the channels they actually use: university pipelines, Austin and Dallas AI meetups, and direct sourcing — not job boards alone.
Texas employers screen for production skills first: candidates who can show a live LLM application or a deployed model consistently beat candidates with stronger paper credentials. If you're building toward your first role, follow the five-step path in how to become an AI engineer, and consider a Texas AI program with an employer pipeline attached.
It also helps to understand the other side of the table — what employers screen for and how their hiring process and talent acquisition strategy work.
Yes — Texas has one of the largest AI job markets outside the coasts. Austin leads with startup and big-tech AI roles, Dallas–Fort Worth hires heavily for enterprise ML and defense AI (including Shield AI), and Houston hires applied AI talent in energy, medicine, and aerospace.
Most AI engineering roles in Texas pay $130,000–$220,000 base, with research scientists reaching $300,000+ and entry-level roles starting around $95,000. With no state income tax, Texas take-home pay is often equivalent to noticeably higher coastal salaries.
Austin has the most AI jobs overall, driven by startups, big-tech offices, and UT Austin spinouts. Dallas–Fort Worth is close behind with enterprise and defense roles, and Houston offers fewer but highly specialized applied-AI positions in energy and medical AI.
Three routes work: transition internally from a software role by shipping ML features, complete a Texas program with strong career pipelines (UT Austin MSAI, PGP-AIML, UNT), or build a public portfolio of deployed AI projects. Entry-level candidates land fastest at mid-size companies, which hire on demonstrated skills rather than pedigree.
Yes. Many Texas-based AI engineers work remotely for coastal companies, and many Texas companies hire remote AI talent statewide. Hybrid roles anchored in Austin or Dallas offer the widest choice, since they qualify for both local and remote openings.