Senior Salesforce Agentforce
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Job Description
Senior Salesforce Agentforce leading enterprise-grade AI agent solutions design and delivery at Octopus by RTG. Collaborating closely with stakeholders to drive successful Agentforce implementations.
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.
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
- 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
Benefits:
- 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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