Jobs in the United States

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Richmond, VA
…maintenance) standards on dedicated equipment(s) and TPM - Phase 3 & 4 tools problem solving…
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Administrative and Employee Experience Coordinator
Santa Clarita, CA
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Remote, United States
- $85,000 to $90,000 USD / year
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Austin, TX
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Staff Software Engineer, Android, Content
Snap Inc.
Los Angeles, CA · San Francisco, CA · Palo Alto, CA · NY · Bellevue, WA
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Huntsville, AL
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…acknowledge and agree that your application may be reviewed using AI…
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Research and Development Engineer 2
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Supply Chain Compliance Manager
PACCAR
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- $100,100 to $156,600 USD / year
The Supply Chain Compliance Manager will play a leading role in identifying potential supply chain risks using advanced analytical tools and their knowledge of the global supply chain.
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Speech Language Pathologist (SLP) - Plymouth, WI
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TDIndustries

AI Solutions Engineer

Dallas, TX, United States

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Job details

Experience: 5-7 years of software development experience, with a current focus on AI/ML development or integration
Posting language: English
Posted: Nov 9, 2026

Original job description

Job Summary

TDIndustries is an employee-owned company in the mechanical construction, operations, and maintenance industry headquartered in Dallas, Texas. With approximately 3,100 employee-partners across six business units, TDIndustries delivers mechanical construction, building services, facilities management, and manufacturing solutions. The Technology Services team drives innovation through enterprise platforms, digital products, and emerging technologies including artificial intelligence. The AI Solutions Engineer / Sr. Software Developer will design, develop, and implement AI-powered solutions and software applications that leverage machine learning, large language models, and intelligent automation to solve business challenges across TDIndustries' construction, facilities, and building services operations. This role partners with business stakeholders to identify AI opportunities, builds proof-of-concept solutions, and delivers production-ready applications that integrate with enterprise platforms. The position serves as a technical resource on AI/ML best practices, responsible AI governance, and emerging technologies.

Essential Duties

AI Development

Design and develop AI-powered applications using large language models (LLMs), including integration with Azure OpenAI, Anthropic Claude, and other foundation model providers
Build AI agents and agentic AI solutions that autonomously execute multi-step workflows, make decisions, and integrate with enterprise systems
Leverage Azure AI Foundry and Microsoft Copilot Studio to develop, deploy, and manage AI solutions and custom copilots across the organization
Implement retrieval-augmented generation (RAG) solutions, vector databases, and semantic search capabilities to enable intelligent document processing and knowledge retrieval
Develop and optimize prompts, prompt chains, and agentic workflows for production AI applications
Build machine learning pipelines for predictive analytics, anomaly detection, and classification use cases relevant to construction and facilities operations

Software Engineering

Develop full-stack applications using modern frameworks including Python, TypeScript/JavaScript, React, Node.js, etc
Design and implement RESTful APIs and microservices architectures for AI model serving and application integration
Embed AI-driven CI/CD and Agile approaches in end-to-end development, leveraging intelligent automation for code review, testing, deployment, and sprint planning
Integrate AI capabilities with enterprise platforms, including Microsoft Dynamics 365, Power Platform, and Azure cloud services
Implement CI/CD pipelines, automated testing, and MLOps practices for reliable deployment of AI solutions

Innovation & Collaboration

Partner with business stakeholders to identify AI opportunities, translate requirements into technical solutions, and deliver proof-of-concept demonstrations
Evaluate emerging AI technologies, tools, and frameworks; provide recommendations for adoption
Support AI governance initiatives including responsible AI policies, data ethics guidelines, and model evaluation frameworks
Mentor colleagues on AI/ML concepts, tools, and development practices; create documentation and training materials
Participate in code reviews, architecture discussions, and agile development ceremonies

Minimum Requirements

5-7 years of software development experience, with a current focus on AI/ML development or integration
Proficiency in AI development, including AI driven CI/CD and Agile frameworks
Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or similar) and prompt engineering techniques
Strong full-stack development skills in numerous languages, and modern web frameworks
Experience with cloud platforms (Azure & GCP preferred) including compute, storage, and AI services
Proficiency with databases and experience with modern data warehousing solutions

AI Development

Design and develop AI-powered applications using large language models (LLMs), including integration with Azure OpenAI, Anthropic Claude, and other foundation model providers
Build AI agents and agentic AI solutions that autonomously execute multi-step workflows, make decisions, and integrate with enterprise systems
Leverage Azure AI Foundry and Microsoft Copilot Studio to develop, deploy, and manage AI solutions and custom copilots across the organization
Implement retrieval-augmented generation (RAG) solutions, vector databases, and semantic search capabilities to enable intelligent document processing and knowledge retrieval
Develop and optimize prompts, prompt chains, and agentic workflows for production AI applications
Build machine learning pipelines for predictive analytics, anomaly detection, and classification use cases relevant to construction and facilities operations

Software Engineering

Develop full-stack applications using modern frameworks including Python, TypeScript/JavaScript, React, Node.js, etc
Design and implement RESTful APIs and microservices architectures for AI model serving and application integration
Embed AI-driven CI/CD and Agile approaches in end-to-end development, leveraging intelligent automation for code review, testing, deployment, and sprint planning
Integrate AI capabilities with enterprise platforms, including Microsoft Dynamics 365, Power Platform, and Azure cloud services
Implement CI/CD pipelines, automated testing, and MLOps practices for reliable deployment of AI solutions

Innovation & Collaboration

Partner with business stakeholders to identify AI opportunities, translate requirements into technical solutions, and deliver proof-of-concept demonstrations
Evaluate emerging AI technologies, tools, and frameworks; provide recommendations for adoption
Support AI governance initiatives including responsible AI policies, data ethics guidelines, and model evaluation frameworks
Mentor colleagues on AI/ML concepts, tools, and development practices; create documentation and training materials
Participate in code reviews, architecture discussions, and agile development ceremonies
5-7 years of software development experience, with a current focus on AI/ML development or integration
Proficiency in AI development, including AI driven CI/CD and Agile frameworks
Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or similar) and prompt engineering techniques
Strong full-stack development skills in numerous languages, and modern web frameworks
Experience with cloud platforms (Azure & GCP preferred) including compute, storage, and AI services
Proficiency with databases and experience with modern data warehousing solutions

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