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Ai Platform Engineer Jobs in Texas (NOW HIRING)

AI Platform Engineer

Austin, TX · On-site

$140 - $210/hr

Join our Technology Team as an AI Platform Engineer located in various offices.** We are seeking a professional who thrives in a fast-paced, deadline-driven environment. The ideal candidate possesses ...

New

AI Platform Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cornelis Networks is seeking an AI Platform Engineer to help shape how our engineering organization uses AI to design, develop, validate, and support advanced networking products. This is an emerging ...

AI Platform Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cornelis Networks is seeking an AI Platform Engineer to help shape how our engineering organization uses AI to design, develop, validate, and support advanced networking products. This is an emerging ...

AI Platform Engineer

Austin, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cornelis Networks is seeking anAI Platform Engineerto help shape how our engineering organization uses AI to design, develop,validate, and support advanced networking products. This is an emerging ...

The AI Platform Engineer will own the Databricks AI/ML platform layer, drive enterprise AI governance, review and remediate shadow AI solutions, and directly deliver automation use cases with ...

This role involves building and scaling a production multi-agent AI platform designed to serve ... Strong programming skills in Python 3.11+, FastAPI, async I/O, and Pydantic. * Familiarity with ...

Sr AI Platform Engineer

Richardson, TX · On-site

$99K - $137K/yr

Senior Lead AI Platform Engineer Build the Future of Enterprise AI Platforms In this role you'll build an enterprise AI Platform from the ground up that will enable internal engineering teams to ...

They are seeking an Enterprise AI Platform Engineer to transform AI prototypes into secure, scalable enterprise systems and ensure robust deployment and compliance in production environments.

Enterprise AI Platform Engineer

Austin, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact The Enterprise AI Platform Engineer transforms citizen-developed AI prototypes (using Python, Workato, and Claude Code) into secure, scalable, production-grade enterprise systems. This ...

Requirements * 8 to 10 years of engineering experience, including 7+ years building and operating production systems on cloud platforms, plus hands-on AI/ML service deployment in production. * 2-3 ...

New

Enterprise AI Platform Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact The Enterprise AI Platform Engineer transforms citizen-developed AI prototypes (using Python, Workato, and Claude Code) into secure, scalable, production-grade enterprise systems. This ...

AI Platform & Agent Engineer Contract position Houston, TX -Hybrid Required Qualifications * Bachelor's degree in computer science, Data Science, Software Engineering, Information Systems, or related ...

Sr. AI Platform Engineer

Austin, TX · On-site

$180 - $240/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Realtor.com is looking for a Senior AI Platform Engineer to architect, build, and continuously improve the internal AI tooling foundation that powers safe, scalable AI adoption across the company.

New

Sr. AI Platform Engineer

Austin, TX

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Realtor.com is looking for a Senior AI Platform Engineer to architect, build, and continuously improve the internal AI tooling foundation that powers safe, scalable AI adoption across the company.

Sr. AI Platform Engineer

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Realtor.com is looking for a Senior AI Platform Engineer to architect, build, and continuously improve the internal AI tooling foundation that powers safe, scalable AI adoption across the company.

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Showing results 1-20

Ai Platform Engineer information

See Texas salary details

$30

$59

$88

How much do ai platform engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ai platform engineer in Texas is $59.58, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $68.75 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What job categories do people searching Ai Platform Engineer jobs in Texas look for?

The top searched job categories for Ai Platform Engineer jobs in Texas are:

What cities in Texas are hiring for Ai Platform Engineer jobs?

Cities in Texas with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Texas as of August 2026, with employment types broken down into 60% Full Time, 38% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $123,934 per year, or $59.6 per hour.

$140 - $210/hr

Other

Posted 2 days ago

New


Greenberg Traurig rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

## AI Platform EngineerApplyremote type: Hybridlocations: Atlanta Center of Excellence: Austin: Houston: Dallas: Miramartime type: Full timeposted on: Posted Todayjob requisition id: JR202601347Greenberg Traurig (GT), a global law firm with locations across the world in 15 countries, has an exciting employment opportunity for you. We offer competitive compensation and an excellent benefits package, along with the opportunity to work within an innovative and collaborative environment. **Join our Technology Team as an AI Platform Engineer located in various offices.** We are seeking a professional who thrives in a fast-paced, deadline-driven environment. The ideal candidate possesses strong problem-solving and decision-making abilities, ensuring efficiency and accuracy in every task. With a dedicated work ethic and a can-do attitude, you will take initiative and approach challenges with confidence and resilience. Excellent communication skills are essential for collaborating effectively across teams and delivering exceptional client service. If you are someone who demonstrates initiative, adaptability, and innovation, we invite you to join our team. This role can be based in various offices, on a hybrid basis. This role reports to the Director of Enterprise Content and Cloud Services. **Position Summary** The AI Platform Engineer is a member of the AI & Data Platform Enablement team responsible for defining the firm’s reusable AI patterns and managing the multi-cloud platform on which AI solutions are built and deployed. This role owns the deployment and lifecycle management of AI models across the firm’s Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI environments and establishes standards for retrieval-augmented generation (RAG), orchestration, APIs, and vector strategies. The AI Platform Engineer also manages the infrastructure that supports AI agents, including agent frameworks and associated vendor platforms. The AI Platform Engineer collaborates with Cloud Services, AI Development, Information Security, and third-party vendors to ensure AI is built once and reused consistently across the firm. **Key Responsibilities*** Manages the firm’s AI control plane including deployment, versioning, and lifecycle of AI models across the firm’s multi-cloud environments, including Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI* Designs and manages the infrastructure supporting AI agents, including agent orchestration frameworks, runtime environments, and the controls around them* Defines and maintains reusable AI architecture patterns including RAG, orchestration, prompt management, API design, and vector store strategies. Packages them as components solution teams can reuse* Provides telemetry, logging, and audit data required for AI governance oversight* Serves as a technical point of contact for AI platform vendors, partners, and internal teams in support of proofs of concept, integration, and operationalization* Builds and maintains vector stores, embedding pipelines, and retrieval services used in AI solutions* Establishes consistent CI/CD, environment, and infrastructure-as-code patterns for deploying and promoting AI workloads* Collaborates with Information Security to ensure model deployments, agents, and platform services meet firm security, privacy, and compliance requirements* Evaluates models, frameworks, and platform services across Azure, AWS, and GCP and recommends fit-for-purpose options balancing capability, cost, and risk* Implements cost-management and capacity practices for AI workloads across cloud providers* Provides technical leadership, mentorship, and guidance to developers and solution teams* Participates as a member of the AI Architectural Review Board to ensure AI solutions meet firm requirements* Reviews existing AI implementations and recommends opportunities for better standardization, consolidation, or re-architecture* Authors and maintains platform documentation, reference architectures, and standard* Creates and delivers technical presentations and training to technical and non-technical audiences* Appears on camera for meetings with colleagues and vendors* Performs other duties as assigned by management **Qualifications***Skills & Competencies** Working knowledge of Azure AI Foundry/Azure OpenAI, AWS Bedrock, and/or Google Vertex AI model deployment and management* Familiarity with AI agent frameworks and the infrastructure required to run and govern agents in production* Proficiency with infrastructure-as-code (Terraform), containers (Docker, Kubernetes), and CI/CD pipelines* Strong scripting and development skills in Python, PowerShell, and/or other languages, including REST API design and integration* Solid understanding of cloud networking, identity, security, and cost-management fundamentals* Demonstrated ability to evaluate and manage third-party AI vendors and platform* Ability to communicate complex technical concepts clearly to technical and business audiences* Strong attention to detail with solid time and project management skills* Self-motivated, able to work independently, and comfortable operating in a shared services model*Education & Prior Experience** Bachelor’s degree in computer science, information technology, or equivalent practical experience* 7+ years of experience in platform engineering, cloud solutions, or machine learning/AI engineering roles* 3+ years of hands-on experience deploying or operating AI/ML workloads in a major cloud environment* Demonstrated experience with multi-cloud platforms* (Azure, AWS, GCP) and AI model deployment* Strong hands-on experience deploying and managing AI/ML or large language models in at least one major cloud (Azure, AWS, or GCP); multi-cloud experience strongly preferred* Experience designing AI architecture patterns including RAG, orchestration frameworks (e.g., Semantic Kernel, LangChain), and vector databases* Certifications in Azure, AWS, GCP, or AI/ML specialties preferred* Experience working in a professional services organization strongly preferred. Law firm experience a plusGT is an EEO employer with an inclusive workplace committed to merit-based consideration and review without regard to an individual’s race, sex, or other protected characteristics and to the principles of non-discrimination on any protected basis. #J-18808-Ljbffr

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