Lead Engineer - Data & AI
Core
Architecting and building the foundational data and AI platform for global logistics operations, including storage layers, pipelines, and agentic systems.
Role type
Senior individual contributor Lead Engineer (Data & AI)
Builds
Scalable data platform components, agentic coding tooling, and production ML systems for logistics optimization.
Domain
Logistics / Data Engineering / AI & Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed systems design, Data platform architecture (Iceberg/Delta Lake/dbt), Agentic engineering & LLM production, Infrastructure as code (Terraform/Kubernetes), Service & API design, Open source contribution
Preferred skills
Migration of live systems, Multi-tenant governance, Front-end capability, Technical writing
Technologies
Python, SQL, dbt, Iceberg, Delta Lake, Hudi, Kubernetes, Terraform, Bicep, MCP servers
Responsibilities
Own architecture for major platform components from storage to agent layer; Write and deploy production code for difficult components; Set agentic engineering practice including internal tooling and code review standards; Partner with stakeholders on technical trade-offs and risk.
Seniority
Senior, hands-on IC