Software Engineering Architect

Join Salesforce as a Software Engineering Architect and help transform the Developer Experience using AI. In this hands-on architecture role, you will set the strategy and technical direction for our Internal Agentic Platform, Model Context Protocol (MCP), LLM Model Gateway, and Context Engineering capabilities. You will shape how agents work, connect to tools and models, and support developers across the software development lifecycle (SDLC). Your work will improve developer productivity, help teams adopt AI safely and effectively, and avoid solving the same platform problems independently.

This is a hands-on architecture role for a technical leader who can define a compelling platform experience and help deliver it in production

Responsibilities

• Define the strategy and architecture for a powerful agentic platform experience that enables teams to build, compose, deploy, and operate agents across Salesforce.
• Set the technical direction for agentic framework adoption, including the use of Mastra AI and LangChain/LangGraph, and guide framework integration and evolution.
• Drive new AI-enabled developer experiences across the software development lifecycle (SDLC), including code understanding and generation, test creation, code review, debugging, modernization, documentation, and release or operational workflows.
• You have a track record of setting strategy and technical direction across teams, then carrying it through implementation and production operation
• You are familiar with SLMs, LLMs, model routing, fine-tuning, quantization, inference optimization, or other ways to improve cost and performance
• You have experience delivering production LLM or agent systems, including evaluation, telemetry, safety, and operational feedback loops

Requirements

• You have hands-on experience with agentic frameworks such as Mastra AI and LangChain/LangGraph, including the ability to evaluate their tradeoffs and establish scalable platform patterns
• You have experience building enterprise knowledge or retrieval systems using RAG, Graph RAG, search, or related approaches

A related technical degree required

• You use sound judgment around security, privacy, reliability, performance, and operational cost in fast-changing technical environments
• You have expertise in one or more relevant areas, such as identity and authorization, data platforms, retrieval and search, context management, workflow orchestration, platform security, or developer experience
• You have strong expertise in agentic platform architecture and experience creating platform capabilities that make agent development and operation effective for application teams
• You bring a genuine AI-first approach to engineering. You use AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor to move faster and work across the stack, and you write precise, structured prompts that make AI output reliable, secure, and production-ready
• You have 15+ years of experience designing and delivering large-scale distributed systems, developer platforms, AI platforms, or infrastructure services
• You have experience evaluating models against real workloads, with a practical understanding of quality, latency, throughput, reliability, and cost tradeoffs
• You have strong communication skills and the ability to build alignment across engineering, product, security, and business teams
• You have experience designing model gateways, inference platforms, model-serving systems, model orchestration layers, or equivalent shared services
• You have experience designing application programming interfaces (APIs) and extensible integration patterns. Familiarity with MCP or comparable tool and protocol ecosystems is a plus
• You understand software development workflows and how to assess whether AI capabilities improve developer experience, productivity, and engineering outcomes
• You have experience building internal platforms, paved paths, or developer tools adopted by multiple teams
• You have experience with coding assistants, AI-enabled developer tools, continuous integration and delivery (CI/CD) workflows, automated testing, code review, or software engineering productivity initiatives
• You have experience with multi-model architectures spanning commercial APIs, open-weight models, and self-hosted or specialized models
• You have contributed to technical standards, open-source projects, or cross-organization architecture initiatives

Pay

USD 218,400 - 401,400