We’re seeking a highly skilled and self-motivated Data Platform & AI Solutions Architect to lead logistics-focused digital transformation initiatives. You’ll design a scalable data platform, implement agentic AI solutions, and drive enterprise analytics using Power BI. You will lead digitalization across multiple logistics sites by assessing current assets, defining a future-state architecture, integrating data sources for end-to-end visibility, and developing transformation roadmaps. You’ll design secure, cloud-native or hybrid platforms using Azure, AWS, or GCP, and implement robust data pipelines with tools like Azure Data Factory, Databricks, and Snowflake—ensuring data quality, governance, and compliance. You’ll deploy AI agents for automation, integrate LLMs using LangChain, OpenAI, or Hugging Face, and collaborate with data scientists to operationalize AI/ML solutions. You’ll also create Power BI dashboards with reusable semantic layers, leveraging DAX and solid data modeling to turn business needs into actionable insights. Qualifications: 10+ years in data engineering, data architecture, or AI/ML Expertise in Azure, AWS, or GCP Strong in Power BI, DAX, data modeling, and visualization Skilled with LangChain, OpenAI, Hugging Face Experience with MLOps, CI/CD, data mesh or data fabric Familiar with enterprise security, compliance, and data privacy Background in logistics or manufacturing transformation Agile mindset, self-driven, and excellent communicator Job Type: Contract Work Location: Remote