Cloud AI Architect Jobs in Texas
Cloud AI Architect jobs in Texas are among the most actively recruited technology roles in the state, with demand concentrated in enterprise cloud transformation, AI platform engineering, and hybrid infrastructure for industries including energy, financial services, healthcare, and defense. Houston, Dallas, and Austin anchor the largest share of openings, with major employers such as ExxonMobil, Dell Technologies, and JPMorgan Chase maintaining deep technical teams across the state. Roles range from associate-level cloud engineers building foundational AI pipelines to principal architects leading multi-cloud strategy at scale, with the strongest demand in generative AI integration, MLOps, and cloud security architecture. Find a role that fits below and apply directly.
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Job Description
The Artificial Intelligence (AI) engineer will develop AI/ML proof-of-concept demonstrations and build new AI/ML solutions that scale with TxDOT’s pipelines and workflows. The role will be embedded within the Traffic Technology team with the goal to develop AI/ML for Operational Technology that improves the safety and operations of the TxDOT roadway system. The AI engineer will work across teams such as Traffic Technology, ITD AI team, and TRF to gather business requirements, develop AI software, and demonstrate successful solutions to end-users.
**Core Responsibilities**
Gather and document AI solution requirements from business stakeholders.
Develop AI proof-of-concepts and transition successful prototypes into production systems.
Design and implement scalable AI pipelines for enterprise applications.
Train, fine-tune, and validate AI/ML models for optimal performance.
Write clean, efficient software code and scripts for AI workflows.
Conduct rigorous testing and quality assurance of AI models and outputs.
Ensure compliance with organizational IT governance, security, and audit standards.
**Stakeholder Engagement & Communication**
Act as liason between Traffic Technology team, business stakeholders, and automation developers.
Facilitate requirements gathering and ensure clarity in AI solution design.
Communicate progress, risks, and issues to project sponsors and leadership teams.
**Delivery Excellence & Governance**
Ensure automation projects comply with TxDOT’s IT governance, security, and audit requirements.
Promote reusable components and standardized AI development practices.
Conduct post-implementation reviews to capture lessons learned and improve delivery methods.
**Team Coordination & Support**
Collaborate with data engineers, business analysts, and infrastructure teams.
Provide guidance on AI best practices and assist in troubleshooting.
Support knowledge sharing and continuous improvement within the team.
MINIMUM YEARS OF EXCPERIENCE SKILL & QUALIFICATION
--- Python – comfortable writing and debugging Python code, developed through coursework, internships, or personal projects
--- Machine Learning Fundamentals - Exposure to building and training ML models using frameworks such as scikit-learn, PyTorch, or TensorFlow
(academic, internship, or personal projects)
--- Cloud Platforms - Familiarity with at least one major cloud provider (AWS, Azure, GCP, or OCI); coursework, sandbox, or free-tier experience is
acceptable
Version Control - Experience using Git/GitHub for collaborative development
--- Databases - Working knowledge of SQL
--- Communication & Problem-Solving - Strong analytical skills and a demonstrated willingness to learn production engineering practices (Docker,
CI/CD, cloud deployment) on the job
--- Command Line Interface (CLI) - Basic comfort navigating and running commands in a terminal environment
PREFERRED SKILLS & QUALIFICATION
--- Exposure to Docker or other containerization concepts through coursework or personal projects
--- Coursework or personal projects involving computer vision (PyTorch/TensorFlow, OpenCV) or other applied ML domains
--- Familiarity with Bash or PowerShell scripting for basic automation
--- Familiarity with cloud AI services (e.g., Azure AI, AWS SageMaker, GCP Vertex AI) through coursework, certifications, or personal projects
--- Exposure to NoSQL or vector databases
--- A portfolio of academic, capstone, hackathon, or open-source ML projects (e.g., a GitHub profile)
--- Coursework or interest in cloud-based CI/CD pipelines (Azure DevOps, GitHub Actions, or similar)
--- Curiosity about applied AI/ML research and current industry tools
--- Exposure to data pipelines or streaming concepts (e.g., Kafka) through coursework or projects
Pay: $33.00 - $38.00 per hour
Expected hours: No more than 33.0 per week
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
Work Location: In person
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Find Cloud AI Architect JobsCloud AI Architect Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Cloud AI Architect Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Science & Research
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
What Texas Employers Look For
The qualifications that appear most often in cloud AI architect jobs across Texas.
- Bachelor's degree in computer science, engineering, or a closely related field
- Professional certification such as AWS Solutions Architect, Google Cloud Professional, or Azure Solutions Architect Expert
- Demonstrated experience designing and deploying AI or machine learning workloads on major cloud platforms
- Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or AWS CloudFormation
- Experience integrating MLOps pipelines and working with large language model frameworks in enterprise environments
- Strong background in cloud security architecture, identity management, and compliance frameworks relevant to regulated Texas industries
Cloud AI Architect Jobs in Texas: Frequently Asked Questions
How do you become a cloud ai architect in Texas?
Cloud ai architect roles in Texas do not require a state-issued license, but hiring managers consistently expect a combination of a bachelor's degree in computer science or a related field alongside vendor certifications from AWS, Microsoft Azure, or Google Cloud. Most Texas employers treat professional cloud certifications as a minimum threshold for senior titles. Candidates who build a portfolio demonstrating AI workload design and multi-cloud architecture on real or open-source projects move through screening faster than those with credentials alone.
Which companies hire cloud ai architects in Texas?
Employers hiring cloud ai architects in Texas right now include University of Texas at El Paso, AMD, and Texas A&M University, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy conglomerates, large regional banks, and federal defense contractors means that cloud ai architect demand here skews toward regulated-industry deployments and large-scale enterprise transformation programs.
Which Texas cities have the most cloud ai architect jobs?
Houston, Austin, and Irving have the most cloud ai architect openings in Texas. Dallas and Austin drive the bulk of listings through their dense concentrations of technology firms, financial services headquarters, and enterprise software companies, while Houston's hiring reflects demand from the energy sector and large health systems that have accelerated cloud AI investments in recent years.
Are there remote cloud ai architect jobs in Texas?
Yes, and more than most fields. About 53% of cloud ai architect openings tied to Texas are remote or hybrid as of September 2026, reflecting the fundamentally platform-based and collaborative nature of the work. Architecture design, stakeholder workshops, and AI model evaluation sessions are the parts of the role most commonly performed fully remote, while initial infrastructure deployment and executive alignment often require periodic on-site presence.
How can I get hired as a cloud ai architect in Texas with little or no experience?
The most realistic entry path is moving from a cloud engineer or DevOps engineer role into architecture work, since large Texas employers in energy and financial services such as ExxonMobil, USAA, and Texas Instruments typically source junior architects from internal cloud operations teams. Completing an associate-level cloud certification, contributing to open-source AI infrastructure projects, and targeting cloud engineer or site reliability engineer postings at Texas-based managed service providers gives candidates a concrete first step without requiring prior architect-title experience.
Where can I find and apply to cloud ai architect jobs in Texas?
You can find and apply to cloud ai architect jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring metros and industries. Search the roles available, find the ones that fit your experience and location, and apply directly to each employer without any intermediary steps.
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