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# AI Solutions Engineer

- **Company:** TDIndustries
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Application Integration Architecture, Software Applications, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Databases, Continuous Integration, Data Warehousing, Information Retrieval, Python (Programming Language), Machine Learning, Microsoft Dynamics, Node.Js, Scrum Methodology, OpenAI, Search Technologies, Software Engineering, TypeScript, Web Application Frameworks, Enterprise Software Applications, ReactJS, Large Language Models, Prompt Engineering, Model Validation, Agentic-AI, Microsoft Copilot Studio, AI Platforms, Machine Learning Operations, Claude, Restful APIs, Microservices
- **Published:** November 11, 2026
- **Apply:** https://diversityjobs.com/career/18890140/Ai-Solutions-Engineer-Texas-Dallas

## About the Role

* 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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## Description

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