AI ML Engineering Jobs in Texas
AI ML Engineering jobs in Texas are among the most actively recruited technology roles in the state, concentrated in enterprise software, semiconductors, aerospace and defense, and financial technology, with openings at every level from junior data scientist to principal machine learning engineer. Austin, Dallas-Fort Worth, and Houston lead hiring volume, anchored by employers like Dell Technologies, Texas Instruments, and JPMorgan Chase, which maintain large engineering operations across the state. The most in-demand specialties are large language model development, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
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Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel
Key Responsibilities:
- Design, build, and deploy GenAI applications, including RAG pipelines with embeddings, vector search (e.g., FAISS), and grounded, citation-backed responses
- Develop and maintain Python and SQL data pipelines (ETL/ELT) on AWS and Snowflake to support ML models, reporting, and personalization use cases
- Train, evaluate, and deploy ML models, including feature engineering from raw data and ongoing LLM evaluation for accuracy and reliability
- Build and expose REST APIs and microservices (e.g., FastAPI) that integrate AI capabilities into web and mobile applications
- Create KPI dashboards and automated reporting, and investigate production data issues to improve data quality and accuracy
- Apply CI/CD and automated testing to deliver reliable releases in a regulated environment
- Document pipeline architecture and experiments for reproducibility and knowledge transfer
This is a hybrid role with required 3 days a week on-site in Addison, TX. Role requires contractor time away (CTA), 5 days per quarter, as mandated by the client.
Basic Qualifications:
- A minimum of 3 years of professional experience in software, data, or AI engineering
- A minimum of 3 years of hands-on experience with Python and SQL for data processing and pipeline development
- A minimum of 1 year of experience building GenAI/LLM solutions (OpenAI APIs, RAG, embeddings, prompt engineering)
- A minimum of 1 year of experience with AWS (e.g., Lambda, SageMaker) and containerization (Docker)
- Bachelor's Degree
Preferred Qualifications:
- Experience with ML model training and deployment (PyTorch or similar) and feature engineering
- Experience building REST APIs and microservices (FastAPI, Spring Boot, or similar)
- Experience with CI/CD and automated testing
- Experience with Snowflake, Kubernetes, LangChain, or LlamaIndex
- Experience in financial services or another regulated environment
- Experience with BI tools (Power BI, Tableau) and data governance
- Experience with on-device or quantized model inference
- Full-stack exposure (React, Angular, Java/.NET)
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 12/12/2026.
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:
Accenture Flex Jobs
Role Location Hourly Salary Range
California $40 to $47
Colorado $40 to $47
Connecticut $44 to $47
District of Columbia $44 to $47
Illinois $44 to $47
Maine $44 to $47
Maryland $44 to $47
Massachusetts $44 to $47
Minnesota $44 to $47
New York $44 to $47
New Jersey $44 to $47
Ohio $44 to $47
Virginia $44 to $47
Washington $44 to $47
Irving, TX
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
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Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
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See All 24 AI ML Engineering Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI ML Engineering JobsAI ML Engineering Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI ML Engineering Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Retail
- Banking & Financial Services
- E-Commerce & Online Marketplaces
- Education
What Texas Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Texas.
- Bachelor's or master's degree in computer science, mathematics, or a related engineering field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying production-grade ML models
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Experience with MLOps tooling, model monitoring, and CI/CD pipelines for ML systems
- Strong foundation in statistics, linear algebra, and applied optimization methods
AI ML Engineering Jobs in Texas: Frequently Asked Questions
How do you become a ai ml engineering in Texas?
The most direct path is a bachelor's degree in computer science, electrical engineering, or applied mathematics, followed by hands-on ML project work that builds a demonstrable portfolio. Texas has no state-issued license specific to AI or machine learning engineering. Most Texas employers, particularly in Austin's tech corridor and Dallas-Fort Worth's enterprise sector, screen candidates on portfolio strength, relevant internships, and proficiency with production ML tools rather than a formal certification.
Which companies hire ai ml engineerings in Texas?
Employers hiring ai ml engineerings in Texas right now include Amazon Web Services, AMD, and Amazon, based on current listings on Migrate Mate as of November 2026. Texas's concentration of semiconductor manufacturers, defense contractors, and financial institutions means demand extends well beyond pure software companies.
Which Texas cities have the most ai ml engineering jobs?
Austin, Dallas, and Irving account for the largest share of ai ml engineering openings in Texas. Austin's dense startup and big-tech ecosystem drives a large portion of listings, while Dallas-Fort Worth's enterprise technology and financial services base sustains steady corporate demand, and Houston's energy and aerospace industries generate specialized ML roles tied to those sectors.
Are there remote ai ml engineering jobs in Texas?
Yes, and more than most fields. About 78% of ai ml engineering openings tied to Texas are remote or hybrid as of November 2026, reflecting the desk-based and infrastructure-heavy nature of the work. Model training, data pipeline engineering, and research roles tend to be the most remote-compatible, while positions requiring access to proprietary hardware or classified defense systems are more likely to require on-site presence.
How can I get hired as a ai ml engineering in Texas with little or no experience?
The most realistic entry path is applying to data analyst or software engineer roles at large Texas employers that offer internal ML rotation programs, then transitioning once you have production exposure. Companies in Austin and Dallas-Fort Worth with established engineering organizations regularly bring on new graduates through structured associate engineer programs. Building a public portfolio on GitHub with end-to-end ML projects and earning a recognized cloud ML certification gives candidates a concrete edge over applicants without formal work history.
Where can I find and apply to ai ml engineering jobs in Texas?
You can find and apply to ai ml engineering jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas-Fort Worth, Houston, and other markets. Find roles that fit your experience and specialization and apply directly to the employers posting them.
See All 24 AI ML Engineering Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs