Software Architect, AI Systems and Platform

Required

• 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 be doing
• Define and implement shared contracts for tasks, events, permissions, approvals, evidence and usage.
• Set clear boundaries between model reasoning, agent harnesses, durable workflows and services that enforce authorization.
• Select a harness through representative identity tasks, failure tests and operational evidence. Keep model providers and harness components replaceable.
• Design integrations with OpenAI and Anthropic APIs, including data boundaries, latency, cost, version changes and measured release quality.
• Build reference services for tenant isolation, scoped tool execution, idempotency, long approval waits and verified results.
• Define the transactional and analytics data architecture. Keep PostgreSQL application state separate from the planned ClickHouse or BigQuery analytics layer.
• Connect Product, Applied AI and Platform engineers through clear ownership and practical APIs. Resolve dependencies that slow delivery.
• Write critical implementations, review recovery and security, and guide technical leads through production rollout and customer expansion.