AI Engineer Jobs in Texas
AI Engineer jobs in Texas are among the most actively recruited technology roles in the country, with demand concentrated in enterprise software, defense and aerospace, energy technology, and financial services at levels from entry-level to principal. Austin, Dallas, and Houston lead hiring volume, and established employers such as Dell Technologies, Lockheed Martin, and ExxonMobil consistently staff ai engineer teams in the state. The most in-demand specialties are large language model development, MLOps and model deployment, and computer vision applied to industrial and energy systems. Find a role that fits below and apply directly.
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Job Summary
We are seeking an experienced Senior Cyber Defense Engineer specializing in AI Security to strengthen the security of AI-driven applications, internal AI models, and enterprise AI environments.
The ideal candidate will have a strong background in cybersecurity, along with hands-on experience securing AI/ML systems, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. This role requires a deep understanding of AI components, workflows, vulnerabilities, and security controls.
Key Responsibilities
- Design and implement security controls to protect AI models, applications, and enterprise AI environments.
- Secure internally developed AI models and LLM-based applications.
- Identify and mitigate security risks associated with AI systems, including prompt injection, data leakage, model vulnerabilities, and unauthorized access.
- Assess and secure AI architectures, components, APIs, and integration workflows.
- Implement security solutions for LLM applications and RAG-based workflows.
- Evaluate and strengthen security configurations across AI platforms and cloud environments.
- Collaborate with AI/ML, engineering, and cybersecurity teams to integrate security best practices throughout the AI development lifecycle.
- Develop and recommend security strategies, standards, and controls for emerging AI technologies.
- Conduct security assessments and provide recommendations to address AI-specific threats and vulnerabilities.
Required Qualifications
- 8+ years of overall experience in Information Security or Cybersecurity.
- 3+ years of hands-on experience in AI Security.
- Strong understanding of AI/ML architecture, components, workflows, and security principles.
- Practical experience securing internally developed AI models.
- Hands-on experience with AI technologies such as:
- AWS Bedrock
- LLaMA
- LangChain
- Strong knowledge of securing LLM-based applications and RAG architectures.
- Experience implementing security controls and solutions for AI systems.
- Understanding of AI-related security threats, vulnerabilities, and risk mitigation strategies.
- Ability to explain AI architecture, security challenges, and the tools and controls used to protect AI environments.
- Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.
Preferred Qualifications
- AI Security certifications.
- Published research or technical articles related to AI Security.
- Experience presenting or speaking at cybersecurity or AI Security conferences.
- Experience working across AWS, Azure, or GCP cloud environments.
Work Location
Irving, TX – Hybrid (3 Days Onsite)
Interested candidates: Please share your updated resume along with your current location, work authorization, and availability.
Pay: From $90.00 per hour
Benefits:
- Relocation assistance
Work Location: In person
Job Summary
We are seeking an experienced Senior Cyber Defense Engineer specializing in AI Security to strengthen the security of AI-driven applications, internal AI models, and enterprise AI environments.
The ideal candidate will have a strong background in cybersecurity, along with hands-on experience securing AI/ML systems, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures. This role requires a deep understanding of AI components, workflows, vulnerabilities, and security controls.
Key Responsibilities
- Design and implement security controls to protect AI models, applications, and enterprise AI environments.
- Secure internally developed AI models and LLM-based applications.
- Identify and mitigate security risks associated with AI systems, including prompt injection, data leakage, model vulnerabilities, and unauthorized access.
- Assess and secure AI architectures, components, APIs, and integration workflows.
- Implement security solutions for LLM applications and RAG-based workflows.
- Evaluate and strengthen security configurations across AI platforms and cloud environments.
- Collaborate with AI/ML, engineering, and cybersecurity teams to integrate security best practices throughout the AI development lifecycle.
- Develop and recommend security strategies, standards, and controls for emerging AI technologies.
- Conduct security assessments and provide recommendations to address AI-specific threats and vulnerabilities.
Required Qualifications
- 8+ years of overall experience in Information Security or Cybersecurity.
- 3+ years of hands-on experience in AI Security.
- Strong understanding of AI/ML architecture, components, workflows, and security principles.
- Practical experience securing internally developed AI models.
- Hands-on experience with AI technologies such as:
- AWS Bedrock
- LLaMA
- LangChain
- Strong knowledge of securing LLM-based applications and RAG architectures.
- Experience implementing security controls and solutions for AI systems.
- Understanding of AI-related security threats, vulnerabilities, and risk mitigation strategies.
- Ability to explain AI architecture, security challenges, and the tools and controls used to protect AI environments.
- Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience.
Preferred Qualifications
- AI Security certifications.
- Published research or technical articles related to AI Security.
- Experience presenting or speaking at cybersecurity or AI Security conferences.
- Experience working across AWS, Azure, or GCP cloud environments.
Work Location
Irving, TX – Hybrid (3 Days Onsite)
Interested candidates: Please share your updated resume along with your current location, work authorization, and availability.
Pay: From $90.00 per hour
Benefits:
- Relocation assistance
Work Location: In person
See All 360+ AI Engineer Jobs in Texas
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Find AI Engineer JobsAI Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- SpaceX23
- AMD14
- JPMorganChase13
- TeamViewer7
- Amazon Web Services7
Top Industries Hiring
- Technology & Software12
- Consulting & Professional Services5
- Electronics & Hardware4
- Banking & Financial Services3
- Law & Legal Services2
What Texas Employers Look For
The qualifications that appear most often in AI engineer jobs across Texas.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch, or JAX
- Experience with cloud platforms including AWS, Azure, or Google Cloud for model hosting
- Strong understanding of MLOps practices including CI/CD pipelines and model monitoring
- Ability to collaborate with cross-functional teams including data engineers and product managers
AI Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ai engineer in Texas?
Texas does not require a state-issued license to work as an ai engineer, so the path runs through education and demonstrated technical skills. Most Texas employers expect at minimum a bachelor's degree in computer science, data science, or electrical engineering, with a master's degree competitive at larger companies like Dell, Boeing, or the major energy firms. Building a portfolio of deployed model projects and earning cloud certifications from AWS or Google strengthens applications considerably.
Which companies hire ai engineers in Texas?
Employers hiring ai engineers in Texas right now include SpaceX, AMD, and JPMorganChase, based on current listings on Migrate Mate as of November 2026. Texas's concentration of defense contractors, energy majors, and large enterprise technology campuses means ai engineer openings appear across a wider range of industries than most states.
Which Texas cities have the most ai engineer jobs?
Austin, Dallas, and Houston hold the most ai engineer openings in Texas. Austin's dense technology startup and corporate campus ecosystem drives the bulk of software-focused roles, Dallas anchors financial services and telecom AI hiring, and Houston's energy sector generates strong demand for ai engineers working on industrial automation and predictive maintenance applications.
Are there remote ai engineer jobs in Texas?
Yes, and more than most fields, since ai engineering work is largely code, experimentation, and model evaluation that transfers well to remote environments. About 80% of ai engineer openings tied to Texas are remote or hybrid as of November 2026, reflecting how broadly distributed this talent pool has become. Roles focused on research, NLP, and model fine-tuning tend to be the most remote-accessible, while positions involving on-premise GPU infrastructure or classified defense work are typically on-site.
How can I get hired as a ai engineer in Texas with little or no experience?
The most realistic entry path is through a machine learning engineering or data science associate role, which several large Texas employers use as a structured on-ramp. Companies like Texas Instruments and Raytheon run rotational engineering programs that include AI and data tracks, and energy firms including Chevron and ExxonMobil hire data science associates at Texas campuses. Building two or three end-to-end project deployments on GitHub, earning an AWS or Google Cloud machine learning certification, and targeting these associate-level postings gives candidates without prior industry experience a credible foundation.
Where can I find and apply to ai engineer jobs in Texas?
You can find and apply to ai engineer jobs in Texas on Migrate Mate, which lists current Texas openings from employers actively hiring in the state. Find the roles that fit your background and apply directly through each listing.
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