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Ai Platform Engineer Jobs in Addison, TX (NOW HIRING)

Prophecy Technologies

AI Platform Engineer

Dallas, TX · On-site

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 ...

BravoTech

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 ...

US Bank

Lead AI Platform Engineer

Irving, TX · On-site

$98K - $129K/yr

Establish logging, evaluation, and feedback mechanisms for production AI systems 3. Cloud, Platform & Scalability Engineering * Architect and deploy GenAI applications across cloud environments ...

US Bank

Senior AI Platform Engineer

Irving, TX · On-site

$53 - $68.50/hr

... Platform & Scalability Engineering * Develop and deploy GenAI systems across cloud platforms (Azure and AWS) * Contribute to distributed system design for scalable AI workloads * Utilize modern ...

Upbound Group, Inc.

Platform Engineer

Plano, TX · On-site

A significant focus of this role is building and operating AI-powered platform capabilities, including LLM-based automation, agentic workflows, retrieval systems, and developer experience ...

Upbound

Platform Engineer

Plano, TX · On-site

A significant focus of this role is building and operating AI-powered platform capabilities, including LLM-based automation, agentic workflows, retrieval systems, and developer experience ...

Upbound

Platform Engineer

Plano, TX · On-site

A significant focus of this role is building and operating AI-powered platform capabilities, including LLM-based automation, agentic workflows, retrieval systems, and developer experience ...

Upbound

Platform Engineer

Plano, TX · On-site

A significant focus of this role is building and operating AI-powered platform capabilities, including LLM-based automation, agentic workflows, retrieval systems, and developer experience ...

Armaninollp

Data & AI Platform Engineer

Dallas, TX

$113K - $136K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

1 point system

Sr. Platform AI Engineer

Dallas, TX · On-site

Proven experience with AI/ML platform engineering or enterprise-scale data platforms. * Familiarity with Copilot Studio, Microsoft Copilot, or similar tools for enterprise AI integration. * Knowledge ...

Toyota

Lead AI/ML Platform Engineer

Plano, TX

$98K - $129K/yr

The Lead AI/ML Platform Engineer will support the Enterprise Platforms team's objective to deliver reliable, secure, and high-performing AI platform capabilities that drive business value at scale.

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Addison, TX

Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for ai platform engineer in Addison, TX is $61.91, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $71.44 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 are popular job titles related to Ai Platform Engineer jobs in Addison, TX?

For Ai Platform Engineer jobs in Addison, TX, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Addison, TX look for?

The top searched job categories for Ai Platform Engineer jobs in Addison, TX are:

What cities near Addison, TX are hiring for Ai Platform Engineer jobs?

Cities near Addison, TX with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you

AI Platform Engineer

Accord Technologies Inc.

Dallas, TX • On-site

Contractor

Re-posted 10 days ago

Job description

AI Platform  Engineer 
Location: Dallas, TX, Charlotte, NC
Position type: W2 contract.
Visa: Any visa independent
 
 
We are looking for an Platform AI Engineer  a builder who can architect the "factory" where AI is made.
Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.
Key Responsibilities
  • Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions.
  • RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management.
  • Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine.
  • Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes).
  • Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks.
  • CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible.
  • Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant.
Required Technical Skills
  • Expert Python: Deep, hands-on knowledge is mandatory.
  • Data Engineering: Extensive experience in massive data ingestion and processing.
  • RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies.
  • Platform Engineering: Proven experience building tools/platforms that other developers or business units use.
  • Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment.
  • DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines.
 
Experience & Qualifications
  • Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (10-15+ years)
  • Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks).
  • Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service.
  • Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.