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Software Engineering Architect

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: 100 Salesforce, Inc.
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 218400 - 365200 USD Yearly USD 218400.00 365200.00 YEAR
Job Description & How to Apply Below

AI Cloud Architect

We are hiring an AI Cloud Architect to shape how agentic systems are built, deployed, and scaled  will work at the frontier of the Agentforce platform, invent new primitives, incubate next‑gen agentic systems, partner directly with customers, and set architectural direction for enterprise AI agents in production. This builder‑communicator role requires you to write code, develop whitepapers, design runtimes, and present to executive leadership.

Responsibilities
  • Invent and incubate 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 (e.g., reasoning architectures, multi‑agent coordination patterns).
  • Shape core platform architecture: agent determinism, A2A protocols, long‑running async workflows, and context engineering.
  • Contribute to the agent development lifecycle—Agent Builder, Agent Testing Center, and Agent Observability—to define how developers build, validate, and monitor agents end‑to‑end.
  • Partner with strategic customers to co‑design solutions using Agentforce, translating complex capabilities into trustworthy outcomes from proof‑of‑concept to production.
  • Produce technically rigorous, persuasive content—including design docs, engineering blog posts, developer documentation, and external presentations.
Qualifications
  • Expertise 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 frontier agentic research—reasoning loops, tool use, memory architectures, and multi‑agent systems.
  • Builder track record: shipped durable technical artifacts, platforms, frameworks, or open‑source projects.
  • Comfortable moving from early‑stage experiment to prototype to GA in fast‑moving environments.
  • Experience with incubation (0→1 projects) or founding‑engineer environments is a strong plus.
  • Exceptional written communication skills—design docs, customer whitepapers—and clear verbal communication for developers, enterprise architects, and CIOs.
  • Experience engaging enterprise customers as a trusted technical advisor.
  • Ability to drive alignment across engineering, product, and field without formal authority.
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.
  • Familiarity with observability tooling, testing frameworks, or developer experience platforms.
Salary

The typical base salary range for this position is $218,400 – $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range is $263,200 – $401,400 annually. The range represents base salary only and does not include company bonus, incentive, equity, or benefits.

Benefits
  • Time off programs
  • Medical, dental, vision coverage
  • Mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k) plan with company match
  • Employee stock purchasing program
Equal‑Opportunity Employment

Salesforce is an equal‑opportunity employer and maintains a non‑discrimination policy. Employees and applicants are assessed based on merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, and other protected classifications.

The same applies to recruiting, hiring, and promotion decisions. In the United States, compensation will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits.

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