Software Architect - AI-Native Developer Platform (Salesforce DX)

Define AI-Native Developer Architecture & Multi-Agent Orchestration for Salesforce's enterprise platform, leading multi-year technical evolution from traditional tooling to autonomous software ecosystems. Architect stateful, multi-agent orchestration engines capable of decomposing complex features into executable tasks, generating code, and self-correcting via runtime feedback loops. Bridge modern LLM capabilities with Salesforce runtime architectures, designing abstractions for agents to reason over org metadata, dependency graphs, and Apex execution models. Build real-time retrieval architectures providing semantic awareness of multi-million-line enterprise orgs and redefine developer interfaces for unified human-agent collaboration. Design isolated execution sandboxes and deterministic evaluation frameworks to enforce security compliance, static analysis, and governance rules before code merge. Remain hands-on by writing high-throughput production code in Java, Go, TypeScript, or Python, authoring core SDKs, and optimizing agent context latency and vector search performance. Lead cross-organizational strategy across AI Platform, Agentforce, and Core Platform groups while mentoring senior architects and establishing design review standards for AI systems.