AI Architect (Software Engineering)

Join Salesforce as an AI Cloud Architect, where you'll shape the future of agentic systems. This role involves writing code, designing runtimes, and presenting to executive leadership. You'll drive advances in agentic AI, influence core architectural decisions, work directly with strategic customers, and produce technically rigorous content. Benefits include medical care, life insurance, retirement savings, and paid time off.

• Concevoir et diriger des projets d'incubation explorant des systèmes agentiques de prochaine génération pour l'entreprise.
• Influencer les décisions architecturales fondamentales à travers Agentforce, y compris la déterminisme des agents, les protocoles A2A, et les workflows asynchrones de longue durée.
• Travailler directement avec des clients stratégiques pour comprendre leur contexte commercial et co-concevoir des solutions utilisant Agentforce.
• Experience engaging enterprise customers as a trusted technical advisor
• Curiosity about and familiarity with frontier agentic research — reasoning loops, tool use, memory architectures, and multi-agent systems
• Experience with incubation, 0→1 projects, or founding engineer environments is a strong plus
• Can speak to a developer, an enterprise architect, and a CIO with equal clarity and credibility
• Expert in distributed systems, stateful runtimes, and LLM-based agent architectures
• Drives alignment across engineering, product, and field without requiring authority
• 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
• You've shipped durable technical artifacts — platforms, frameworks, or open-source projects others build on
• Raises the technical bar around them — a natural teacher and force multiplier
• Comfortable going from early-stage experiment to prototype to GA in fast-moving environments
• 10+ years of experience in Software Engineering
• Exceptional written communication — from design docs to customer whitepapers
• Open-source community experience or developer advocacy background
• Background in ML infrastructure, data engineering, or AI platform work
• Familiarity with Salesforce platform primitives (Flow, Apex, Einstein, metadata)
• Experience with language/compiler design (relevant to DSL authoring systems like AgentScript)
• Familiarity with observability tooling, testing frameworks, or developer experience platforms