Software Engineering Architect

Salesforce

AI Cloud Architect at Salesforce driving innovation with agentic systems and enterprise AI. Collaborating with customers and influencing architectural decisions in the AI domain.

Posted 5/27/2026full-timePalo Alto • California, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $218,400 - $365,200 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaPython

About the role

Key responsibilities & impact

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 OpenClaw-style reasoning architectures and emerging multi-agent coordination patterns.
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.

Requirements

What you’ll need

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
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
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
Drives alignment across engineering, product, and field without requiring authority
Raises the technical bar around them — a natural teacher and force multiplier

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

distributed systemsstateful runtimesLLM-based agent architecturesorchestration frameworksgraph-based execution enginesagent DSLsPythonJavacloud-native infrastructureagent development lifecycle

Soft Skills

written communicationtechnical advisingalignment across teamsteachingpersuasive content creationcustomer engagementclarity in communicationcuriositycollaborationadaptability