AI Solutions Engineer

This role will focus on implementing cutting-edge Generative AI and Agentic AI solutions, backed by strong Data Science and supply chain functional expertise. You will ideate, give ideas shape, and connect the dots between AI capabilities and real-world business challenges, driving automation, resilience, and efficiency across the value chain. Minimum Qualifications Bachelor’s or Master’s in Computer Science, Data Science, Operations Research, or a related field. 7+ years of experience in data engineering, AI/ML, or analytics roles. 4+ years of hands-on experience with Generative AI (e.g., GPT, Claude, open-source LLMs) and Agent-based architectures (LangChain, AutoGen, etc.). Strong background in data science: SQL, Spark, Python, Airflow, cloud (AWS/GCP/Azure), and data lakes. Deep understanding of supply chain processes (planning, logistics, procurement, manufacturing). Familiarity with MLOps tools, vector databases (e.g., Pinecone, FAISS), and AI safety practices. Preferred Qualifications Experience with commercial supply chain platforms (e.g., Kinaxis, Blue Yonder). Exposure to digital twin and simulation platforms. Strong storytelling, communication, and stakeholder management skills. Experience in collaborating with global teams in a matrixed organization.