Design and lead the technical track for an AI agent system managing complex transaction workflows for enterprise clients. This includes owning the orchestrator design, tool-use architecture, and secure sandbox environment while leading AI/ML engineers.
Design and build an AI agent system to manage complex transaction workflows for enterprise clients. Implement tool integrations, data pipelines, and human-in-the-loop approval gates to ensure end-to-end software functionality.
Lead operations strategy and business transformation for enterprise clients by decomposing complex value chains and identifying inefficiencies. Translate business findings into structured requirements for technical teams to build AI-powered solutions.
The Solutions Architect will define the technical blueprint for a 12-week transformation cycle focused on stabilizing and optimizing a complex North American supply chain relaunch for a major client. This involves designing the secure cloud environment, shaping system architecture across data, modeling, and application layers, and ensuring the decision engine is production-ready.
The Data Engineering Lead will be responsible for building the critical data foundation by extracting and unifying fragmented historical logistics data to power advanced AI simulations. Key duties include leading data ingestion, architecting a canonical data schema, and building robust ETL/ELT pipelines.
The Business Analyst will serve as the crucial link between client operational stakeholders and the technical delivery team, leading requirements gathering and mapping current logistics processes. Key duties include designing testable hypotheses for AI simulations, defining future-state decision logic, and establishing financial baselines.
