Salesforce Agentforce Consultant

• Help design, build and continuously improve the clients online platform.
  


• Research, suggest and implement new technology solutions following best practices/standards.
  


• Take responsibility for the resiliency and availability of different products.
  


• Be a productive member of the team.
  
  
  

Requirements

• 3–5 years of hands-on Salesforce platform experience with proven delivery experience in Agentforce or Einstein Copilot implementations.
  


• Experienced Salesforce Agentforce Consultant to design, configure, and deploy autonomous AI agents across Sales, Service, and Operations functions.
  


• Own the complete agent delivery lifecycle, from translating business requirements into intelligent automation use cases through Agent Studio configuration, Prompt
  


• Builder optimization, Data Cloud grounding, deployment, monitoring, and continuous improvement.
  


• Work closely with Solution Architects, business stakeholders, and Agile delivery teams to ensure Agentforce solutions meet organizational standards for functionality, trust, compliance, scalability, and performance.
  


• Engage with stakeholders to identify, analyze, and prioritize Agentforce automation opportunities across Sales, Service, and Operations teams.
  


• Configure Agentforce Agent Studio components including: Agent personas, Topics, Instructions, Clarification prompts, Actions, Escalation paths, Guardrails
  


• Design and configure Einstein Copilot agents for Sales, SDR, Customer Service, and internal Operations use cases.
  


• Develop, test, and optimize prompt templates using Salesforce Prompt Builder.
  


• Implement contextual grounding using Salesforce Data Cloud unified customer profiles, calculated insights, and data actions.
  


• Improve agent response quality through prompt tuning, transcript analysis, and contextual optimization techniques.
  


• Build and maintain Agentforce actions using: Salesforce Flows (Screen, Record-Triggered, and Autolaunched Flows), Apex classes, REST API integrations
  


• Integrate Agentforce with external systems and enterprise applications for real-time data retrieval and automation.
  


• Configure Salesforce Knowledge and grounding mechanisms for Service Agent use cases.
  


• Implement Omni-Channel routing and human-agent escalation workflows.
  


• Configure and maintain Einstein Trust Layer controls including: Data masking, Toxicity detection, Zero-data retention policies, Audit logging and compliance monitoring
  


• Ensure adherence to enterprise privacy, governance, and security standards.
  


• Support end-to-end UAT activities including: Test case creation, Response validation, Edge case testing, Out-of-scope scenario handling
  


• Monitor deployed agents using Agentforce Analytics and conversation transcript analysis.
  


• Track KPIs such as: Containment rate, Escalation rate, Task completion success, Agent performance metrics
  


• Continuously optimize agent behavior based on analytics, user feedback, and business outcomes.
  


• Create and maintain technical documentation, runbooks, configuration guides, and user enablement materials.
  


• Collaborate closely with QA, Product Owners, Architects, Data teams, and business stakeholders in Agile delivery environments.
  


• Strong expertise in Salesforce Agentforce Agent Studio including: Topics, Instructions, Actions, Guardrails, Clarification prompts
  


• Proficiency in Salesforce Prompt Builder including: Prompt template authoring, Merge field grounding, Prompt optimization and iterative testing
  


• Strong knowledge of Salesforce Data Cloud including: Unified profiles, Identity resolution, Calculated insights, Data actions
  


• Experience building agent actions using Salesforce Flows, Apex, and REST APIs.
  


• Good understanding of Einstein Trust Layer controls and AI governance mechanisms.
  


• Strong experience with JSON, APIs, webhooks, and integration design.
  


• Experience with Salesforce Knowledge, Digital Engagement, and Omni-Channel routing.
  


• Understanding of LLM concepts including: Retrieval-Augmented Generation (RAG), Context grounding, Hallucination mitigation strategies, Prompt engineering best practices
  


• Strong analytical, communication, documentation, and stakeholder management skills.
  


• Experience working in Agile/Scrum delivery environments.
  

Benefits

• A challenging, innovating environment.
  


• Opportunities for learning where needed.