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Built In Austin’s September 29, 2026 roundup names 14 employers it says regularly recruit AI talent in the Austin metro: 2K, General Motors, Google, Dell Technologies, Apple, Expedia Group, Oracle, Visa, IBM, Motive, Amazon, Tesla, NVIDIA and Optum. Their work ranges from chips and cloud infrastructure to vehicles, payments and healthcare. The list is an employer guide, not confirmation that every company currently has an Austin AI engineer opening.
Which companies does Built In identify?
Built In Austin describes the following companies as active metro-area employers that regularly hire for AI engineering. Its roundup is not an independently audited ranking, and it does not provide a dated opening count for each employer.
| Employer | Work described in Built In’s roundup |
|---|---|
| 2K | Gaming, including AI for computer-controlled players and internal workflows. |
| General Motors | Automotive and autonomous-vehicle work, including driver-assistance systems and OnStar connected-vehicle cloud software at the Austin Innovation Center. |
| Search and AI, including machine-learning operations, TPU compiler pipelines, Google Cloud infrastructure and Android AI features. | |
| Dell Technologies | AI infrastructure at its Round Rock headquarters, including servers, GPUs and storage. |
| Apple | Machine-learning verification, inference systems and Neural Engine software at a North Austin campus. |
| Expedia Group | AI- and machine-learning-enabled features for its travel offerings. |
| Oracle | AI agents and database technology for running large language models against enterprise data at its Austin headquarters. |
| Visa | Payment security, deep-learning models and predictive fraud scoring. |
| IBM | Foundation-model work, including Granite, and infrastructure for watsonx.ai. |
| Motive | IoT hardware and AI for fleet tracking, driver safety, compliance and maintenance. |
| Amazon | Annapurna Labs custom AI chips and machine-learning infrastructure for AWS and generative-AI products. |
| Tesla | Neural networks for driving systems and the Cortex compute cluster for Full Self-Driving, Cybercab and Optimus. |
| NVIDIA | CUDA libraries, TensorRT inference tools and networking software. |
| Optum | Healthcare AI roles across locations, including remote roles in Texas. |
How to narrow the list to your kind of AI work
Use the employer descriptions to decide which live postings merit a closer look. The companies span several technical layers and industries; the same job title can mean quite different day-to-day work.
- Chips and compute: Dell Technologies, Amazon and NVIDIA are associated with hardware, custom chips, accelerators or the software and infrastructure around compute.
- Cloud and platforms: Google, Oracle and IBM feature cloud, database, model or enterprise infrastructure work.
- Applied products and operations: 2K, Expedia Group, Visa, Motive, Optum, General Motors, Apple and Tesla connect AI to gaming, travel, payments, fleets, healthcare, consumer devices or vehicles.
Then compare the role itself: research or model development, infrastructure, applied product engineering, or automation. A company’s broad AI focus does not establish that a specific team or requisition matches that category, so use the job description as the deciding evidence.
#1 Best Overall
What current Austin-area listings suggest about roles and skills
A Built In Austin AI Engineer board snapshot included Austin-area postings attributed to General Motors, Realtor.com, PwC, Toast, NVIDIA and other employers. The examples covered applied AI, platform engineering, enterprise automation, AI safety and production machine learning. They illustrate the range of titles and work, but listings can change or close; check the employer’s own careers page to confirm the opening and its location, work arrangement and seniority.
Skills and systems mentioned across sampled listings included Python, large language models (LLMs), retrieval-augmented generation (RAG), evaluation, observability, cloud platforms and agent systems. These are examples from postings, not a universal checklist. Match your preparation to the requirements of the particular role rather than assuming every Austin AI engineer job uses the same stack.
Rank #2
How to interpret pay information
The Built In roundup says the average Austin AI engineer salary is about $145,000 and attributes the figure to Levels.fyi, but does not state the observation date or explain the estimate’s methodology. It should not be treated as a verified current market average.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesIndividual postings in the sampled job-board snapshot displayed a $163,000–$250,000 range for a General Motors Lead AI Software Engineer role and $151,000–$187,000 for a PwC CTIO-AI Engineer-Sr Associate role. Those are listing-specific advertised ranges, not a measure of typical Austin AI engineer pay. Confirm compensation and the terms attached to the range in the live posting.
Rank #3
How to verify an opening before applying
- Find a role in the job-board listing or employer roundup that fits your technical interests and experience.
- Open the employer’s own careers site and search for the exact title or requisition. Confirm the role is still accepting applications and is tied to Austin or the location and remote arrangement you can work from.
- Read the full requirements and posting details, including seniority, skills, work arrangement and compensation. Job-board examples may be outdated or may not represent the employer’s complete terms.
- Apply through the employer’s stated process and tailor your materials to the actual role rather than the company’s general AI work.
Built In’s employer roundup was updated September 29, 2026; its separate job-board examples are a changing snapshot. Neither source establishes that all 14 companies have an open Austin AI engineer requisition at the time you search.
Quick Recap
Rank #4
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