Software Engineering Architect

What you'll do

• Own the strategy and architecture for a platform that enables teams to build, deploy, and operate AI agents across Salesforce.
• Set the technical direction for Model Context Protocol (MCP) including server/client patterns, tool discovery, and lifecycle management.
• Define reusable platform capabilities for agent orchestration, tool integration, runtimes, state, memory, and human oversight.
• Guide the adoption and integration of agentic frameworks such as Mastra AI and LangChain/LangGraph.
• Design and evolve a secure LLM Model Gateway to provide consistent model access, policy enforcement, and governance.
• Manage model economics by evaluating cost-effectiveness, token efficiency, and performance tradeoffs between SLMs and LLMs.
• Lead the architecture for context engineering and enterprise knowledge management using RAG and Graph RAG systems.
• Establish shared standards for security, privacy, reliability, and observability across all agents, models, and data.

What we're looking for

• You must have 15+ years of experience designing and delivering large-scale distributed systems, developer platforms, AI platforms, or infrastructure services.
• You must have a track record of setting strategy and technical direction across teams and carrying it through implementation and production operation.
• You must have strong expertise in agentic platform architecture and experience creating platform capabilities for agent development and operation.
• You must have hands-on experience with agentic frameworks such as Mastra AI and LangChain/LangGraph.
• You must have experience designing model gateways, inference platforms, model-serving systems, or model orchestration layers.
• You must have experience building enterprise knowledge or retrieval systems using RAG, Graph RAG, or search.
• You must have a related technical degree.
• You should have experience delivering production LLM or agent systems, including evaluation, telemetry, and safety (preferred).