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.
Find Cloud AI Architect JobsOverview
Showing 5 of 36+ Cloud AI Architect jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software, cloud space, or AI space.
- Experience identifying AI use cases to solve customer challenges or selling AI technology to clients.
- Experience in, or supporting, the Retail industry.
Preferred qualifications:
- Experience carrying and exceeding strategic business goals in a sales role.
- Experience supporting long-term executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
- Experience prioritizing, planning, and organizing solution-based sales activity within complex sales cycles, including qualifying accounts and leveraging our partner ecosystem.
- Experience working cross functionally (including account teams, technical leads, procurement, and legal) to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
- Knowledge of market trends, products, and solutions (including foundational technical understanding) of Cloud and AI.
- Excellent negotiation, problem-solving, and active listening skills.
About the job
As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality, and provide a comprehensive overview of key business use cases. Sales cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI solutions. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
- Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory’s business.
- Work with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
- Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market.
- Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, participants, and how they can transform their business using our technologies.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software, cloud space, or AI space.
- Experience identifying AI use cases to solve customer challenges or selling AI technology to clients.
- Experience in, or supporting, the Retail industry.
Preferred qualifications:
- Experience carrying and exceeding strategic business goals in a sales role.
- Experience supporting long-term executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
- Experience prioritizing, planning, and organizing solution-based sales activity within complex sales cycles, including qualifying accounts and leveraging our partner ecosystem.
- Experience working cross functionally (including account teams, technical leads, procurement, and legal) to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
- Knowledge of market trends, products, and solutions (including foundational technical understanding) of Cloud and AI.
- Excellent negotiation, problem-solving, and active listening skills.
About the job
As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality, and provide a comprehensive overview of key business use cases. Sales cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI solutions. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
- Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory’s business.
- Work with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
- Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market.
- Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, participants, and how they can transform their business using our technologies.
See All 36 Cloud AI Architect Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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
- E-Commerce & Online Marketplaces
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, Rice University, and AMD, based on current listings on Migrate Mate as of November 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 El Paso 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 77% of cloud ai architect openings tied to Texas are remote or hybrid as of November 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.
See All 36 Cloud AI Architect Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Cloud AI Architect Jobs