Salesforce Agentforce Consultant

GeekSoft Consulting | Permanent

Noida, India | Posted on 05/29/2026

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• Industry Technology
• Date Opened 05/29/2026
• Job Type Permanent
• Work Experience 5+ years
• State/Province Uttar Pradesh
• City Noida
• Zip/Postal Code 201301
• Country India

• 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.

• 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.

• A challenging, innovating environment.
• Opportunities for learning where needed.

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