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AI Architect - Software Engineering

Job in Seattle, King County, Washington, 98127, USA
Listing for: salesforce.com, inc.
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Software Engineering

About Salesforce

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. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Role

We’re hiring an AI Cloud Architect to help shape how agentic systems are built, deployed, and scaled ’ll work at the frontier of the Agentforce platform – inventing new primitives, incubating next-gen agentic systems, partnering directly with customers, and setting architectural direction for how enterprise AI agents work in production.

​This is a builder-communicator role. You’ll write code and whitepapers, design runtimes and present to executive leadership.

What You’ll Do
  • Invent and Incubate – Drive fundamental advances in agentic AI – new execution models, agent orchestration frameworks, and stateful runtime architectures. Lead incubation projects exploring next-generation agentic systems for the enterprise, including Open Claw-style reasoning architectures and emerging multi‑agent coordination patterns. The kind of work that produced Agent Graph, Agent Script, and the Graph Runtime powering Agentforce today.
  • Shape the Core Platform – Influence core architectural decisions across Agentforce – agent determinism, A2A protocols, long‑running async workflows, and context engineering. Contribute adjacently to the agent development lifecycle – including Agent Builder, Agent Testing Center, and Agent Observability – helping define how developers build, validate, and monitor agents end‑to‑end.
  • Partner with customers – Work directly with strategic customers to understand their business context and co‑design solutions using Agentforce. Translate complex agent capabilities into concrete, trustworthy outcomes – from proof‑of‑concept to production.
  • Write and communicate with conviction – Produce technically rigorous, persuasive content – design docs, engineering blog posts, developer documentation, and external presentations. You have a clear point of view and can defend it.
What We’re Looking For Technical depth
  • Expert in distributed systems, stateful runtimes, and LLM‑based agent architectures
  • Experience building orchestration frameworks, graph‑based execution engines, or agent DSLs
  • Strong grasp of LLM behavior, context management, and agent reliability in production
  • Fluency in Python and Java; comfortable with cloud‑native infra
  • Curiosity about and familiarity with frontier agentic research – reasoning loops, tool use, memory architectures, and multi‑agent systems
Builder track record
  • You’ve shipped durable technical artifacts – platforms, frameworks, or open‑source projects others build on
  • Comfortable going from early‑stage experiment to prototype to GA in fast‑moving environments
  • Experience with incubation, 01 projects, or founding engineer environments is a strong plus
Communication and customer instincts
  • Exceptional written communication – from design docs to customer whitepapers
  • Can speak to a developer, an enterprise architect, and a CIO with equal clarity and credibility
  • Experience engaging enterprise customers as a trusted technical advisor
Collaboration and influence
  • Drives alignment across engineering, product, and field without requiring authority
  • Raises the technical bar around them – a natural teacher and force multiplier
Nice to Have
  • Open‑source community experience or developer advocacy background
  • Familiarity with Salesforce platform primitives (Flow, Apex, Einstein, metadata)
  • Background in ML infrastructure, data engineering, or AI platform work
  • Experience with language/compiler design (relevant to DSL authoring systems like Agent Script)
  • Familiarity with observability tooling, testing frameworks, or developer experience platforms
Why This Role

The agentic AI space is…

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