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Salesforce Agentforce Architect

  • Salesforce Agentforce Architect job type Posted on: Nov 12, 2026
  • Salesforce Agentforce Architect experience level VDart Inc
  • Salesforce Agentforce Architect employment type Atlanta, Georgia
  • Salesforce Agentforce Architect employment type Onsite
  • Salesforce Agentforce Architect salary CTC

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Job Title :

Salesforce Agentforce Architect

Job Type :

Contract

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Role: Salesforce Agentforce Architect

Location: Atlanta, GA (Hybrid)

Type: Contract

Description:

  • The Salesforce Architect will provide technical architecture and leadership for Salesforce Agentforce and Sales Cloud initiatives within the client DRIVE environment.
  • The role will lead end-to-end solution architecture, integration, security, data, and platform design while ensuring alignment with enterprise Salesforce standards.

Key Responsibilities

  • Own 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.
  • Design agent orchestration patterns, including tool/function calling, workflow delegation, multi-agent patterns, state management and memory.
  • Architect integration of Agentforce with Salesforce automation, Apex, Flow, APIs, MuleSoft and external enterprise services.
  • Define appropriate use of LLMs, deterministic logic, workflow engines and traditional automation, rather than defaulting all use cases to generative AI.
  • Design context engineering and retrieval strategies, including structured/unstructured grounding, retrieval depth, metadata filtering and relevance optimization.
  • Establish secure agent action patterns using least-privilege access, guardrails, validation, approval checkpoints and human-in-the-loop mechanisms.
  • Define AI evaluation frameworks covering answer quality, grounding, hallucination, task completion, tool selection, latency and business outcomes.
  • Establish observability across agent reasoning paths, actions, integration failures, token/credit consumption and operational performance.
  • Assess model and platform trade-offs across quality, latency, context window, cost, privacy and enterprise constraints.
  • Architect resilient action layers and transactional integration patterns for revenue processes where consistency and recoverability are critical.
  • Advise programs on consumption-based economics, AI credit/token optimization and architectural approaches to control run-time cost.
  • Lead architecture reviews, design authorities and technical governance across global delivery teams.
  • Mentor technical architects, developers and Agentforce specialists.

Required Technical Expertise

  • 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.

Preferred Qualifications

  • 15+ years overall technology experience; 10+ years in Salesforce CPQ / Revenue Cloud architecture.
  • Proven experience architecting enterprise CPQ / Quote-to-Cash implementations.
  • Salesforce Application/System/Technical Architect credentials strongly preferred.
  • Agentforce and Revenue Cloud-related certifications or demonstrable implementation experience.
  • Experience with MuleSoft and large enterprise integration landscapes preferred.
  • Ability to communicate architectural decisions to both engineering teams and senior business stakeholders.

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

102428-5195

Employment:

CTC

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Salesforce Agentforce Architect

Location: Atlanta, GA (Hybrid)

Type: Contract

Description:

  • The Salesforce Architect will provide technical architecture and leadership for Salesforce Agentforce and Sales Cloud initiatives within the client DRIVE environment.
  • The role will lead end-to-end solution architecture, integration, security, data, and platform design while ensuring alignment with enterprise Salesforce standards.

Key Responsibilities

  • Own 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.
  • Design agent orchestration patterns, including tool/function calling, workflow delegation, multi-agent patterns, state management and memory.
  • Architect integration of Agentforce with Salesforce automation, Apex, Flow, APIs, MuleSoft and external enterprise services.
  • Define appropriate use of LLMs, deterministic logic, workflow engines and traditional automation, rather than defaulting all use cases to generative AI.
  • Design context engineering and retrieval strategies, including structured/unstructured grounding, retrieval depth, metadata filtering and relevance optimization.
  • Establish secure agent action patterns using least-privilege access, guardrails, validation, approval checkpoints and human-in-the-loop mechanisms.
  • Define AI evaluation frameworks covering answer quality, grounding, hallucination, task completion, tool selection, latency and business outcomes.
  • Establish observability across agent reasoning paths, actions, integration failures, token/credit consumption and operational performance.
  • Assess model and platform trade-offs across quality, latency, context window, cost, privacy and enterprise constraints.
  • Architect resilient action layers and transactional integration patterns for revenue processes where consistency and recoverability are critical.
  • Advise programs on consumption-based economics, AI credit/token optimization and architectural approaches to control run-time cost.
  • Lead architecture reviews, design authorities and technical governance across global delivery teams.
  • Mentor technical architects, developers and Agentforce specialists.

Required Technical Expertise

  • 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.

Preferred Qualifications

  • 15+ years overall technology experience; 10+ years in Salesforce CPQ / Revenue Cloud architecture.
  • Proven experience architecting enterprise CPQ / Quote-to-Cash implementations.
  • Salesforce Application/System/Technical Architect credentials strongly preferred.
  • Agentforce and Revenue Cloud-related certifications or demonstrable implementation experience.
  • Experience with MuleSoft and large enterprise integration landscapes preferred.
  • Ability to communicate architectural decisions to both engineering teams and senior business stakeholders.

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