Role Overview
Owns end-to-end solution architecture across Agentforce, Salesforce CPQ, and Revenue Cloud Advanced. Architect agent-assisted and agentic workflows across opportunity, configuration, pricing, quoting, contracting, ordering, and revenue lifecycle processes.
What You Will Do
Design agent orchestration patterns, architect integration of Agentforce with Salesforce automation, Apex, Flow, APIs, MuleSoft, and external enterprise services. Define AI evaluation frameworks and establish observability across agent reasoning paths.
Why It Might Be a Fit
The ideal candidate has 15+ years of overall technology experience, 10+ years in Salesforce CPQ/Revenue Cloud architecture, and 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 careers-inc.nttdata.com.
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