AI Solution Architect Jobs in Texas
AI Solution Architect jobs in Texas are among the most active in the country, concentrated in enterprise technology, energy, financial services, and healthcare IT, with openings at every level from associate architect through principal and staff. The largest hiring centers are Dallas-Fort Worth, Houston, and Austin, where employers like Dell Technologies, AT&T, and ExxonMobil maintain significant technology operations and ongoing demand for this role. The most sought-after specialties in Texas right now are cloud architecture, generative AI integration, and enterprise data platforms. Find a role that fits below and apply directly.
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Showing 5 of 12+ AI Solution Architect jobs
Job Summary
We are looking for strong AI Technical Architect to drive our innovation strategy using Amazon Web Services. This role focuses on building sophisticated, autonomous AI agents using AWS Bedrock. You will be the primary technical authority on Agentic AI, responsible for designing systems where Foundation Models (FMs) interact intelligently with enterprise data and APIs to perform complex tasks. You will lead high-stakes conversations with senior leadership to define the "Art of the Possible" regarding GenAI.
Architecture & Platform Leadership
- Define target architecture, security boundaries, integration patterns, and deployment standards for enterprise Agentic AI and Generative AI solutions.
- Lead architecture reviews covering security, scalability, resiliency, observability, performance, and cost optimization.
- Establish reusable platform patterns, golden-path templates, reference architectures, and production-readiness standards.
- Collaborate with AI engineering, security, cloud, networking, data, and application teams to drive secure and governed adoption of AI capabilities.
- Provide architecture governance, production-readiness oversight, and leadership for security and resiliency reviews.
Agentic AI & AWS AI/ML
- Strong experience architecting and implementing Agentic AI and Generative AI solutions on AWS.
- Hands-on experience with AWS AgentCore, Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML services.
- Experience designing AI agents, multi-agent workflows, LLM-based applications, RAG solutions, tool integration, and model/agent orchestration.
- Design secure integration patterns between AI agents, enterprise applications, APIs, data platforms, knowledge sources, and external tools.
- Experience implementing AI guardrails, security controls, model governance, observability, monitoring, and responsible AI practices.
- Experience taking AI/ML and Generative AI solutions from prototype/PoC through production deployment.
- Design Agentic AI solutions for enterprise-grade scalability, resiliency, security, performance, and operational supportability.
Cloud Engineering & DevSecOps
- Design and manage secure multi-account AWS environments using AWS Organizations, Control Tower, SCPs, IAM Identity Center, and shared services.
- Develop and manage CI/CD pipelines using GitLab, GitHub, or Bitbucket CI/CD and AWS-native deployment services.
- Build, package, and deploy AgentCore and AI workloads as containerized applications using Docker and Amazon ECR.
- Implement Infrastructure as Code (IaC) using AWS CDK and/or Terraform, including automated deployment pipelines.
- Configure and manage AWS Systems Manager (SSM) for operational automation.
- Design and optimize data persistence using Amazon DynamoDB.
- Implement secure authentication and authorization using OAuth/OBO patterns.
- Apply security and governance policies using the AWS Cedar authorization framework.
- Support threat modeling, security reviews, compliance requirements, and production-readiness assessments.
- Ensure model, agent, and tool interactions follow approved governance and security controls, including deny-by-default Cedar policies, guardrails, private connectivity, identity controls, and secure access patterns.
Job Summary
We are looking for strong AI Technical Architect to drive our innovation strategy using Amazon Web Services. This role focuses on building sophisticated, autonomous AI agents using AWS Bedrock. You will be the primary technical authority on Agentic AI, responsible for designing systems where Foundation Models (FMs) interact intelligently with enterprise data and APIs to perform complex tasks. You will lead high-stakes conversations with senior leadership to define the "Art of the Possible" regarding GenAI.
Architecture & Platform Leadership
- Define target architecture, security boundaries, integration patterns, and deployment standards for enterprise Agentic AI and Generative AI solutions.
- Lead architecture reviews covering security, scalability, resiliency, observability, performance, and cost optimization.
- Establish reusable platform patterns, golden-path templates, reference architectures, and production-readiness standards.
- Collaborate with AI engineering, security, cloud, networking, data, and application teams to drive secure and governed adoption of AI capabilities.
- Provide architecture governance, production-readiness oversight, and leadership for security and resiliency reviews.
Agentic AI & AWS AI/ML
- Strong experience architecting and implementing Agentic AI and Generative AI solutions on AWS.
- Hands-on experience with AWS AgentCore, Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML services.
- Experience designing AI agents, multi-agent workflows, LLM-based applications, RAG solutions, tool integration, and model/agent orchestration.
- Design secure integration patterns between AI agents, enterprise applications, APIs, data platforms, knowledge sources, and external tools.
- Experience implementing AI guardrails, security controls, model governance, observability, monitoring, and responsible AI practices.
- Experience taking AI/ML and Generative AI solutions from prototype/PoC through production deployment.
- Design Agentic AI solutions for enterprise-grade scalability, resiliency, security, performance, and operational supportability.
Cloud Engineering & DevSecOps
- Design and manage secure multi-account AWS environments using AWS Organizations, Control Tower, SCPs, IAM Identity Center, and shared services.
- Develop and manage CI/CD pipelines using GitLab, GitHub, or Bitbucket CI/CD and AWS-native deployment services.
- Build, package, and deploy AgentCore and AI workloads as containerized applications using Docker and Amazon ECR.
- Implement Infrastructure as Code (IaC) using AWS CDK and/or Terraform, including automated deployment pipelines.
- Configure and manage AWS Systems Manager (SSM) for operational automation.
- Design and optimize data persistence using Amazon DynamoDB.
- Implement secure authentication and authorization using OAuth/OBO patterns.
- Apply security and governance policies using the AWS Cedar authorization framework.
- Support threat modeling, security reviews, compliance requirements, and production-readiness assessments.
- Ensure model, agent, and tool interactions follow approved governance and security controls, including deny-by-default Cedar policies, guardrails, private connectivity, identity controls, and secure access patterns.
See All 12 AI Solution Architect Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Solution Architect JobsAI Solution Architect Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Solution Architect Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Texas Employers Look For
The qualifications that appear most often in AI solution architect jobs across Texas.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience designing and deploying AI or machine learning solutions at enterprise scale
- Proficiency with major cloud platforms such as AWS, Microsoft Azure, or Google Cloud
- Ability to translate complex AI capabilities into clear business outcomes for non-technical stakeholders
- Experience with MLOps practices, model lifecycle management, and responsible AI governance
- Relevant certifications such as AWS Certified Machine Learning Specialty or Google Professional ML Engineer
AI Solution Architect Jobs in Texas: Frequently Asked Questions
How do you become a ai solution architect in Texas?
Texas does not require a state-issued license to work as an ai solution architect. The typical path is a bachelor's degree in computer science, software engineering, or a related field, followed by several years of hands-on engineering or data science experience. Many Texas employers look for candidates with cloud certifications from AWS, Microsoft, or Google, plus a portfolio demonstrating end-to-end AI solution design. Graduate degrees in machine learning or data science accelerate placement into senior roles.
Which companies hire ai solution architects in Texas?
Employers hiring ai solution architects in Texas right now include HP, Koch, and Cab Tek, based on current listings on Migrate Mate as of November 2026. Texas's concentration of Fortune 500 headquarters, large defense contractors, and major energy companies means demand comes from a broad range of industries rather than technology firms alone.
Which Texas cities have the most ai solution architect jobs?
Plano, Houston, and Dallas have the most ai solution architect openings in Texas. Dallas-Fort Worth leads because of its dense cluster of corporate headquarters and financial services firms, Houston's demand is driven by energy sector digital transformation and a large medical center, and Austin's fast-growing technology sector fuels consistent hiring across startups and established tech employers alike.
Are there remote ai solution architect jobs in Texas?
Yes, and more than most fields. About 33% of ai solution architect openings tied to Texas are remote or hybrid as of November 2026, reflecting how naturally this role fits distributed work. The parts of the role most often done fully remote include architecture design, stakeholder presentations, and model evaluation, while on-site presence is more common during initial deployment or when working with sensitive enterprise data.
How can I get hired as a ai solution architect in Texas with little or no experience?
The most realistic entry path is through a cloud engineering or data engineering role, then moving laterally into solution architecture once you've built hands-on AI project experience. Large Texas employers like Dell Technologies and Texas-based financial institutions regularly hire associate cloud architects and junior ML engineers as stepping-stone positions. Building a portfolio of personal or open-source AI projects, earning a foundational cloud certification, and targeting rotational technology programs at Texas corporate headquarters can open the door without prior architect-level titles.
Where can I find and apply to ai solution architect jobs in Texas?
You can find and apply to ai solution architect jobs in Texas on Migrate Mate, which lists current Texas openings across industries and metros. Find the roles that fit your background and apply directly from the listing.
See All 12 AI Solution Architect Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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