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Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.
Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.
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.
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.
Requirements
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
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.
