AI Business Analyst Intern at Triple-S… · Houston

Summary: Triple-S Steel Holdings, Inc. is seeking a motivated and technically curious AI Business Analyst Intern to join their team and help shape the future of intelligent enterprise operations. In this role, you will work at the intersection of business strategy and cutting-edge AI technology, identifying opportunities, building solutions, and driving measurable impact across the organization. Responsibilities: - Support the full AI-driven Software Development Life Cycle (SDLC) to design and develop custom applications that enhance business decision-making - Assist in the development and deployment of an internal AI chatbot within the Microsoft Azure ecosystem, improving employee productivity and information access - Analyze and identify business processes suitable for automation, contributing to the design and implementation of robust enterprise AI agents - Connect and integrate the organization's Data & Analytics platform with internal and external data sources to enable smarter, real-time insights - Collaborate with cross-functional teams to gather requirements, document workflows, and translate business needs into AI-powered solutions Required Qualifications: - Currently pursuing a degree in Computer Science, Information Systems, Business Analytics, Data Science, or a related field - Familiarity with AI/ML concepts, large language models (LLMs), or automation tools - Strong analytical and problem-solving skills with a business-oriented mindset - Ability to communicate technical concepts clearly to non-technical stakeholders - Self-starter who thrives in a fast-paced, innovative environment Preferred Qualifications: - Exposure to Microsoft Azure services (Azure OpenAI, Azure Bot Services, Power Automate, or similar) Required Skills: AI, Machine learning, Large language models, Automation tools, Microsoft Azure, Software Development Life Cycle, Data integration, Analytical skills Benefits: Hands-on experience building real-world AI applications in an enterprise setting, Exposure to modern AI development frameworks and cloud platforms, Mentorship from experienced data, AI, and business leaders, Opportunity to make a visible impact on how the business operates and makes decisions