Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 1 Nov 2026

Software Engineering Architect

Salesforce San Francisco, California Remote senior full-time

The employer hasn't listed a salary.

Apply on Salesforce

Description

Software Engineering Architect

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword , it’s a way of life.

As a Software Engineering Architect, you will set the strategy and technical direction for our Internal Agentic Platform, Model Context Protocol (MCP), LLM Model Gateway, and Context Engineering capabilities.

Your responsibilities will include:

  • Defining a compelling platform experience and helping deliver it in production
  • Shaping how agents work, how they connect to tools and models, how they use enterprise knowledge, and how they support developers across the software development lifecycle (SDLC)
  • Setting architecture and adoption direction for MCP, including server and client patterns, tool discovery, interoperability, identity, authorization, and lifecycle management
  • Establishing patterns that help teams move from prototypes to dependable production agents
  • Driving new AI-enabled developer experiences across the SDLC

Responsibilities

  • Own the strategy and architecture for a powerful agentic platform experience that enables teams to build, compose, deploy, and operate agents across Salesforce
  • Define reusable platform capabilities for agent orchestration, tool and skill integration, agent runtimes, state and memory, human oversight, evaluation, and production operations
  • Set technical direction for agentic framework adoption, including the use of Mastra AI and LangChain/LangGraph
  • Guide framework integration and evolution while keeping the platform coherent, extensible, and adaptable to new approaches
  • Establish patterns that help teams move from prototypes to dependable production agents

Requirements

  • 15+ years of experience designing and delivering large-scale distributed systems, developer platforms, AI platforms, or infrastructure services
  • Strong expertise in agentic platform architecture and experience creating platform capabilities that make agent development and operation effective for application teams
  • Hands-on experience with agentic frameworks such as Mastra AI and LangChain/LangGraph
  • Experience designing model gateways, inference platforms, model-serving systems, model orchestration layers, or equivalent shared services

Benefits

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best.

Skills

  • Agentic platform architecture
  • Mastra AI
  • LangChain/LangGraph
  • Model gateways
  • Inference platforms
  • Model-serving systems
  • Model orchestration layers
  • Identity and authorization
  • Data platforms
  • Retrieval and search
  • Context management
  • Workflow orchestration
  • Platform security
  • Developer experience

Skills

Required

  • agentic platform architecture
  • Mastra AI
  • LangChain/LangGraph
  • model gateways
  • inference platforms
  • model-serving systems
  • model orchestration layers

Nice to have

  • coding assistants
  • AI-enabled developer tools
  • continuous integration and delivery (CI/CD) workflows
  • automated testing
  • code review
  • software engineering productivity initiatives
Apply on Salesforce