Teams at Magentic

Build and deploy LLM-based features and agentic workflows for procurement applications. Develop multi-agent frameworks, benchmark models for performance and safety, and create tooling that integrates AI with customer ERP systems. The role involves end-to-end Python development, productionizing AI solutions, collaborating with customers and internal teams, and translating complex technical capabilities into practical solutions.

Build and operate high-volume ingestion pipelines for procurement and supply-chain data. Design schemas, catalogs, warehouses, lakehouses, and feature stores; establish data quality, monitoring, observability, governance, and lineage standards. Collaborate with AI, Platform, and Product teams to provision reliable datasets for analytics and machine learning. Own end-to-end data solutions, CI/CD, integrations, and architecture supporting enterprise customers.

Own end-to-end AI deployments for enterprise customers, from initial scoping through live rollout. Manage senior stakeholder relationships, lead governance, identify additional customer value, and develop repeatable deployment best practices. Translate customer evidence into product and engineering roadmap input while tracking commercial outcomes. The role requires strong delivery or product experience, complex project management, commercial judgment, clear communication, and comfort operating in an ambiguous early-stage environment.