AI Architect Jobs in Texas
AI Architect jobs in Texas are among the most active in the country, with strong demand concentrated in enterprise cloud transformation, generative AI platforms, and machine learning infrastructure across the energy, finance, and defense sectors at every level from associate architect through principal and distinguished engineer. Austin, Dallas, and Houston lead hiring volume, anchored by employers such as ExxonMobil, Dell Technologies, and American Airlines, which maintain large technology organizations in the state. The most sought-after specialties are large language model deployment, MLOps pipeline design, and multi-cloud AI governance. Find a role that fits below and apply directly.
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INTRODUCTION
We are looking for an experienced AI Architect with strong expertise in AWS cloud architecture, solution design, and serverless technologies. The candidate should have hands-on experience with AWS Elastic Beanstalk, Lambda, API Gateway, CloudFront, and Step Functions.
ROLE AND RESPONSIBILITIES
- Design scalable, secure, and high-performance AWS solutions.
- Develop cloud-native applications and microservices.
- Lead AWS architecture, integration, and deployment strategies.
- Manage cloud security, governance, performance, and cost optimization.
- Lead technical teams, architecture reviews, and solution delivery.
- Drive Agile project management, technical documentation, and enterprise architecture standards.
BASIC QUALIFICATIONS
- AWS Architecture & Elastic Beanstalk
- AWS Lambda, API Gateway, Step Functions
- CloudFront & Serverless Architecture
- Microservices & Cloud Security
- Agile, Scrum, JIRA
- Enterprise Architecture (TOGAF)
- Technical Leadership & Project Governance
INTRODUCTION
We are looking for an experienced AI Architect with strong expertise in AWS cloud architecture, solution design, and serverless technologies. The candidate should have hands-on experience with AWS Elastic Beanstalk, Lambda, API Gateway, CloudFront, and Step Functions.
ROLE AND RESPONSIBILITIES
- Design scalable, secure, and high-performance AWS solutions.
- Develop cloud-native applications and microservices.
- Lead AWS architecture, integration, and deployment strategies.
- Manage cloud security, governance, performance, and cost optimization.
- Lead technical teams, architecture reviews, and solution delivery.
- Drive Agile project management, technical documentation, and enterprise architecture standards.
BASIC QUALIFICATIONS
- AWS Architecture & Elastic Beanstalk
- AWS Lambda, API Gateway, Step Functions
- CloudFront & Serverless Architecture
- Microservices & Cloud Security
- Agile, Scrum, JIRA
- Enterprise Architecture (TOGAF)
- Technical Leadership & Project Governance
See All 126+ AI Architect Jobs in Texas
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Where Texas roles are concentrated, by current openings.
AI Architect Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Consulting & Professional Services
- Science & Research
- Manufacturing
What Texas Employers Look For
The qualifications that appear most often in AI architect jobs across Texas.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Hands-on experience designing and deploying machine learning or generative AI systems at enterprise scale
- Proficiency with major cloud platforms such as AWS, Azure, or Google Cloud and their native AI services
- Demonstrated ability to translate business requirements into scalable AI architecture and technical roadmaps
- Experience with MLOps tooling, model governance frameworks, and responsible AI practices
- Strong communication skills to align engineering teams, product stakeholders, and executive leadership on AI strategy
AI Architect Jobs in Texas: Frequently Asked Questions
How do you become a ai architect in Texas?
Becoming an ai architect in Texas typically starts with a bachelor's or master's degree in computer science, data science, or software engineering, followed by several years building machine learning or cloud infrastructure experience. Texas does not require a state-issued license for this role. Employers look for vendor certifications from AWS, Microsoft Azure, or Google Cloud, along with a portfolio of real AI system deployments that demonstrate architectural decision-making at scale.
How much do AI architects make in Texas?
AI architects in Texas earn a median of about $111,530 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,480 for the lowest 10% to over $174,300 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Texas?
Employers hiring ai architects in Texas right now include Boston Consulting, AMD, and University of Texas at El Paso, based on current listings on Migrate Mate as of November 2026. Texas's deep concentration of Fortune 500 headquarters in energy, financial services, and aerospace creates steady enterprise-level demand for ai architects outside the typical tech-sector hiring cycle.
Which Texas cities have the most ai architect jobs?
Austin, Houston, and Dallas have the most ai architect openings in Texas. Austin's concentration of technology company offices and semiconductor firms drives much of that city's volume, Dallas attracts demand from financial services headquarters and large consulting practices, and Houston's energy sector is investing heavily in AI-driven operational systems, pulling architect roles into oil, gas, and renewables companies headquartered there.
Are there remote ai architect jobs in Texas?
Yes, and more than most technical fields, because ai architect work centers on design, documentation, and cross-team alignment that transfers well to remote settings. About 69% of ai architect openings tied to Texas are remote or hybrid as of November 2026, reflecting how broadly employers have accepted distributed work for senior technical roles. The most fully remote positions tend to be in platform strategy and model governance rather than roles that involve hands-on lab or data center access.
How can I get hired as a ai architect in Texas with little or no experience?
The most realistic entry path is moving laterally from a data engineer, ML engineer, or cloud solutions architect role, where you already handle components of AI system design. Large Texas employers such as Dell Technologies, ExxonMobil, and the major Dallas-Fort Worth financial institutions run associate architect programs and rotational technology tracks that accept candidates with two to three years of adjacent experience. Building a documented portfolio of end-to-end ML projects and earning a cloud AI certification strengthens an application significantly at this stage.
Where can I find and apply to ai architect jobs in Texas?
You can find and apply to ai architect jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and other metros in the state. Find roles that match your experience and apply directly to the employers posting them.
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