Senior Manager, AI Solutions Architect

Salesforce Salesforce · Enterprise · San Francisco, CA +2

Salesforce is seeking a Senior Manager, AI Solutions Architect to define the technical architecture for their AI agent portfolio, govern multi-agent orchestration patterns, and own the connective tissue layer for integrating agents, APIs, and enterprise platforms. The role involves setting standards for agent development, testing, and evaluation, managing agent performance post-deployment, and ensuring system health and reliability.

What you'd actually do

  1. Define the technical architecture for our agent portfolio (integration patterns, platform choices, guardrails)
  2. Design and govern multi-agent orchestration patterns — how agents hand off tasks, share context, and operate within composite AI systems
  3. Own the "connective tissue" layer: how agents, APIs, workflows, and enterprise platforms (Agentforce, Slack, Snowflake, Claude) are wired together and scaled reliably
  4. Set standards for how agents are built, tested, and evaluated
  5. Own agent performance post-deployment — monitoring, iteration, quality

Skills

Required

  • LLM-based agentic workflows
  • Agent orchestration frameworks (e.g., LangChain)
  • Multi-agent coordination patterns
  • System thinking
  • Python proficiency
  • Linux comfort
  • Agent identity and session design
  • System health and reliability management
  • Deployment lifecycle management

Nice to have

  • Prompt engineering
  • Domain fluency in monetization workflows

What the JD emphasized

  • Built or deployed LLM-based agentic workflows (not just chatbots)
  • Hands-on experience with agent orchestration frameworks (e.g., LangChain or equivalent) and multi-agent coordination patterns
  • Self-sufficiency — able to deploy, debug, and iterate without waiting for outside engineering help; owns the full loop from design to production

Other signals

  • AI agents
  • agent orchestration
  • multi-agent systems
  • enterprise AI workflows