AI Solutions Engineer

TDIndustries is hiring an AI Solutions Engineer to design, develop, and implement AI-powered solutions and software applications for its construction, facilities, and building services operations. The role partners with business stakeholders to identify opportunities, build proof-of-concept solutions, deliver production applications, and provide technical guidance on AI/ML practices and responsible AI governance.

Responsibilities:

• 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
• 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
• 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