- Drive platform engineering work at client organizations, connecting long-term technical vision to shipped work.
- Lead platform strategy and delivery across diverse platform types.
- Advise clients on architecture, scalability, and platform evolution.
- Collaborate on systems spanning the ML lifecycle, from data ingestion and preprocessing to deployment, integration, and performance monitoring.
- Design and manage high-level technical roadmaps for large engagements.
- Coach client engineering teams, transfer knowledge, and improve engineering practices.
- Influence client CTOs and executive decisions, and plan technical work across organizational boundaries.
- Partner with account teams on planning, opportunity identification, stakeholder relationships, and pre-sales scope shaping.
- Identify, mitigate, and resolve blockers to team progress.
- Apply architectural patterns to evaluate tradeoffs and document design rationale.
PythonJavaJavascript+3 more