Role Overview
Owns end-to-end solution architecture across Agentforce, Salesforce CPQ, and Revenue Cloud Advanced. Architectures agent-assisted and agentic workflows across opportunity, configuration, pricing, quoting, contracting, ordering, and revenue lifecycle processes.
What You Will Do
Designs agent orchestration patterns, integrates Agentforce with Salesforce automation, and defines AI evaluation frameworks. Establishes secure agent action patterns and observability across agent reasoning paths and actions.
Why It Might Be a Fit
Requires 15+ years of technology experience, 10+ years in Salesforce CPQ/Revenue Cloud architecture, and proven experience architecting enterprise CPQ/Quote-to-Cash implementations.
Requirements
- Salesforce Agentforce and associated agentic architecture concepts
- Salesforce CPQ and Revenue Cloud Advanced / Revenue Lifecycle Management
- Salesforce Sales Cloud and core platform architecture
- Agent orchestration and tool/function calling
- Multi-agent architectures, delegation, and coordination patterns
- Agent state, short/long-term memory, and session/context management
- MCP and agent-to-agent interoperability concepts/patterns
- RAG, semantic/vector search, embeddings, chunking, and retrieval optimization
- Context engineering beyond basic prompt engineering
- Evaluation frameworks and AI observability
- AI safety, grounding, guardrails, and least-privilege action design
- LLM model selection and architectural trade-offs
- Classic NLP concepts including intent classification, entity extraction, semantic similarity, and ranking
- Apex, Lightning Platform, Flow, APIs, and enterprise integration patterns
- Strong understanding of asynchronous processing, transaction boundaries, resiliency, retries, and idempotency
- Security architecture including sharing, CRUD/FLS, permission models, and data protection
To apply for this job please visit career8.successfactors.com.
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