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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INTRODUCTION
Senior Cloud Data & AI Architect
Must Have Technical/Functional Skills
- Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
- Design data integration and data pipeline patterns
- Should be able to evaluate new technologies and run proof of concepts.
- Should be able to set data and AI strategy for data organization.
- Established data Quality, lineage and metadata standards
- Ensured compliance with privacy, security and regulation
- Drives adoption of responsible AI frameworks
- Created architectural guardrails
- Drive consensus on standards (eg data contracts, lineage) across different data organizations
- Reviews design and elevate architectural thinking across teams
- Creates reusable patterns, templates and reference architectures
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Design and implement AI and Gen AI solution for data value chain
- Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
- Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
- Experience with A2A orchestration, agent memory strategies, and tool calling.
- Strong grasp of enterprise architecture, data governance, and security protocols.
- Experience with cloud platforms (Azure, AWS, GCP) and MLOps pipelines.
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Roles & Responsibilities
- Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
- Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure
- Design and implement AI and Gen AI solution for data value chain
- Design data integration pipelines (batch, real-time, big data) and analytics platforms
- Define and implement data governance, quality, metadata, and lineage frameworks and should be able to leverage GenAI capabilities.
- Act as a trusted advisor to senior business and IT stakeholders
- Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI).
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Generic Managerial Skills, If any
- 15–20 years of experience in data architecture, data engineering, and analytics platforms
- Strong consulting experience in large BFSI transformation programs
- Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
- Design and implement AI and Gen AI solution for data value chain
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Experience with cloud data services in AWS, Azure, GCP
- Strong background in data integration, reporting, and big data ecosystems
- Experience working in regulated environments with data governance and compliance requirements
- Excellent stakeholder communication and leadership skills
Salary Range
- $150,000-$175,000 a year
Location
Dallas, TX
Job Function
TECHNOLOGY
Role
Technical Architect
Job Id
413283
Desired Skills
Cloud Architecture
Salary Range
$150,000-$175,000 a year
INTRODUCTION
Senior Cloud Data & AI Architect
Must Have Technical/Functional Skills
- Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
- Design data integration and data pipeline patterns
- Should be able to evaluate new technologies and run proof of concepts.
- Should be able to set data and AI strategy for data organization.
- Established data Quality, lineage and metadata standards
- Ensured compliance with privacy, security and regulation
- Drives adoption of responsible AI frameworks
- Created architectural guardrails
- Drive consensus on standards (eg data contracts, lineage) across different data organizations
- Reviews design and elevate architectural thinking across teams
- Creates reusable patterns, templates and reference architectures
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Design and implement AI and Gen AI solution for data value chain
- Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
- Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
- Experience with A2A orchestration, agent memory strategies, and tool calling.
- Strong grasp of enterprise architecture, data governance, and security protocols.
- Experience with cloud platforms (Azure, AWS, GCP) and MLOps pipelines.
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Roles & Responsibilities
- Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
- Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure
- Design and implement AI and Gen AI solution for data value chain
- Design data integration pipelines (batch, real-time, big data) and analytics platforms
- Define and implement data governance, quality, metadata, and lineage frameworks and should be able to leverage GenAI capabilities.
- Act as a trusted advisor to senior business and IT stakeholders
- Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI).
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Generic Managerial Skills, If any
- 15–20 years of experience in data architecture, data engineering, and analytics platforms
- Strong consulting experience in large BFSI transformation programs
- Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
- Design and implement AI and Gen AI solution for data value chain
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Experience with cloud data services in AWS, Azure, GCP
- Strong background in data integration, reporting, and big data ecosystems
- Experience working in regulated environments with data governance and compliance requirements
- Excellent stakeholder communication and leadership skills
Salary Range
- $150,000-$175,000 a year
Location
Dallas, TX
Job Function
TECHNOLOGY
Role
Technical Architect
Job Id
413283
Desired Skills
Cloud Architecture
Salary Range
$150,000-$175,000 a year
See All 61 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
- Bain & Company5
- NVIDIA5
- Boston Consulting4
- NTT DATA4
- PepsiCo4
Top Industries Hiring
- Technology & Software22
- Consulting & Professional Services18
- Electronics & Hardware5
- Food & Beverage4
- Healthcare & Medical Services4
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 Bain & Company, NVIDIA, and Boston Consulting, based on current listings on Migrate Mate as of June 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?
Dallas, Austin, and Houston 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 23% of cloud ai architect openings tied to Texas are remote or hybrid as of June 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 61 Cloud AI Architect Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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