About You
Hands-on builder: You still write production code and test important decisions through implementation.
Practical architect: You choose a small, clear design and make it easy to extend when the product grows.
Trusted partner: You earn confidence through useful code, clear feedback and customer understanding.
What you will bring to the role
- A record of leading architecture and delivery across multiple engineering teams, with recent production code you personally implemented.
- Deep knowledge of distributed services, API design, data consistency, cloud security and production operations.
- Experience making systems simpler while improving reliability, security or delivery speed.
- The ability to explain design tradeoffs, guide senior engineers and remain accountable through implementation.
- Depth in at least one of the two role areas below, plus the ability to work across the full product.
Role focus
AI systems architect: Build and evaluate agent harnesses, context management, model integrations and quality controls. Relevant experience includes Claude Agent SDK, OpenAI Codex SDK, Strands Agents, LangChain Deep Agents, LangGraph or a comparable custom runtime.
Platform architect: Lead backend, connector, security, data and workflow architecture. Bring deep production systems experience and practical knowledge of integrating model-driven workflows.