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Senior Salesforce Agentforce - 6 Months - Remote - Octopus by RTG

Robusta · Egypt · posted Jul 12, 2026

senior

What this role actually asks for

Extracted by RemoteHunt

Must have

  • Salesforce Agentforce expertise
  • Salesforce Data Cloud (Data 360)
  • Retrieval-Augmented Generation (RAG)
  • Salesforce platform architecture
  • Apex, LWC, Salesforce Flow development
  • Stakeholder management and communication

Nice to have

  • Model Context Protocol (MCP)
  • Agent-to-Agent (A2A) integration
  • Headless Salesforce architectures

Tools and technologies

SalesforceAgentforceData CloudData 360RAGApexLWCSalesforce Flow

The full posting

Job Overview

We are seeking an experienced Senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce. This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform. You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.

Role Responsibilities

Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit. Define agent care plans, success metrics, adoption strategies, and implementation roadmaps. Architect Agentforce solutions, including:

  • Agents and sub-agents
  • Topics
  • Actions (Apex, Flow, Prompt-based, and Invocable Actions)
  • Instructions and orchestration

Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.

Design scalable Salesforce platform architectures, including:

  • Data model
  • Sharing and visibility model
  • Security architecture

Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.

Produce technical architecture documentation, solution blueprints, and executive presentations.

Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.

Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.

Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.

Provide technical leadership and mentoring to project teams throughout the solution lifecycle.

Required Skills & Experience

Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.

Strong understanding of Agentforce architecture, including:

  • Agents
  • Sub-agents
  • Topics
  • Actions
  • Instructions
  • Orchestration

Experience facilitating AI use case discovery and designing agent care plans.

Strong expertise in Salesforce Data Cloud (Data 360), including:

  • Data modelling
  • Batch and streaming ingestion
  • Data harmonisation
  • Identity resolution

Deep understanding of Retrieval-Augmented Generation (RAG), including:

  • Vector databases
  • Embedding and chunking strategies
  • Retrieval optimisation
  • Grounding using Data Cloud and external knowledge sources

Strong Salesforce platform architecture experience covering:

  • Data modelling
  • Security architecture
  • Sharing and visibility model (OWD, Roles, Sharing Rules)

Advanced development skills in:

  • Apex
  • Lightning Web Components (LWC)
  • Salesforce Flow

Experience designing enterprise integration patterns connecting Agentforce with external systems.

Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.

Understanding of the Agentforce consumption model.

Experience with Agentforce Testing Center or equivalent AI testing frameworks.

Nice to Have

Knowledge of Model Context Protocol (MCP). Experience with Agent-to-Agent (A2A) integration patterns. Experience designing headless Salesforce architectures. Agentblazer Legend status. Agentforce FDE Ready Practitioner accreditation.

Preferred Salesforce Certifications

Salesforce Application Architect Salesforce Data Cloud Consultant Salesforce Agentforce Specialist

What You'll Get

Fully remote engagement. Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations. Collaborate with leading enterprise clients on large-scale digital transformation programmes. Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.

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