Artificial Intelligence Engineer

• Develop AI agents and tools using platforms like Azure AI Foundry, Copilot, ChatGPT, or similar
• Integrate AI into enterprise systems (Teams, SharePoint, internal platforms)
• Build and refine Retrieval-Augmented Generation (RAG) workflows, embeddings, and vector databases
• Create lightweight tools and applications that improve decision-making speed and accuracy, * Partner with Data and IT teams to connect pipelines, APIs, and data sources
• Develop forecasting models and intelligent systems that support planning and operations
• Monitor performance, track KPIs, and continuously improve model accuracy and adoption
• Ensure reliability, scalability, and long-term performance of AI solutions

Cross-Functional Impact

• Work directly with field, operations, finance, and leadership teams to understand workflows
• Identify inefficiencies and introduce AI-driven improvements
• Train users, drive adoption, and gather feedback to refine solutions
• Serve as the bridge between technical capability and real-world application

• Degree in Computer Science, Engineering, or related field
• Strong programming experience (Python, R, JavaScript, etc.)
• Experience with AI/ML frameworks and model development
• Hands-on work with LLMs, RAG, embeddings, and agent-based workflows
• Familiarity with tools like Azure AI, OpenAI, Copilot, Semantic Kernel, or similar
• Experience integrating APIs, data connectors, and enterprise systems, * You don't just build models, you solve problems
• You think in systems, not silos
• You can move from concept ? prototype ? production without getting stuck
• You're comfortable working with both technical teams and business leaders
• You're curious about how construction actually works and how to make it better