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

Jordanów, Lesser Poland Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

10 Oct, 26

Salary

0.0

Posted On

12 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Salesforce Agentforce, Salesforce Data Cloud, Retrieval-Augmented Generation (RAG), Apex, Lightning Web Components (LWC), Salesforce Flow, Vector Databases, Enterprise Architecture, Data Modeling, Stakeholder Management, AI Orchestration, Integration Patterns, Technical Documentation, Pre-sales, Solution Design, AI Testing Frameworks

Industry

technology;Information and Internet

Description

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. 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. 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 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.

Responsibilities

Lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce and Data Cloud. You will architect agent care plans, define grounding strategies using RAG, and provide technical leadership to delivery teams.