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Salesforce Agentforce Specialist

Tekwissen India

Job Location:

Chennai - India

Monthly Salary: Not provided by the employer

Posted: 5 June 2026 (30+ days ago)

Application Deadline: 2 September 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

Overview

TekWissen Group is a workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a leading industrial technology company (founded 1978; based in Westminster Colorado) that connects the physical and digital worlds through GPS laser and software solutions.

Position: Salesforce Agentforce Specialist
Locations: Chennai
Job Type: Contract
Duration: 6 Months
Work Type: Onsite

Job Description:

We are seeking a highly skilled Salesforce Agentforce Specialist to lead the design implementation and governance of our autonomous AI agents.
In this role you will transform our customer service sales and operations by building intelligent agents that do not just chat but actively execute tasks and workflows.
You will bridge the gap between business requirements and technical AI orchestration-leveraging Data Cloud building precise prompts and designing multi-agent environments while adhering to strict trust and security standards.

Key Responsibilities:

Agent Design & Orchestration:

Configure AI Agents: Design and deploy autonomous agents using Agent Studio utilizing Topics Instructions and Actions (TIA) to handle complex business scenarios.
Action & Workflow Integration: Build and connect standard and custom agent actions by integrating Salesforce Flows Apex actions and external APIs.
Multi-Agent Interoperability: Architect agent-to-agent communication protocols and utilize the Model Context Protocol (MCP) and Agent APIs for cross-platform workflows.

Prompt Engineering & Grounding

Prompt Architecture: Author manage and optimize scalable prompt templates in Prompt Builder using field generation and flex types.
Data Grounding: Implement robust grounding techniques using structured and unstructured business data to prevent AI hallucinations and ensure highly relevant agent responses.

Data Strategy & Data Cloud

Data Library Management: Leverage the Agentforce Data Library to feed real-time context to the reasoning engine.
Retrieval Optimization: Configure Data Cloud retrievers data chunking and indexing strategy across keyword vector and hybrid search methods.

Testing Lifecycle & Security

Validation: Use the Agentforce Testing Center and reasoning traces to evaluate debug and optimize agent decision intelligence and accuracy before live deployment.
ALM & Deployment: Manage the application lifecycle of AI models deploying configurations seamlessly from Sandboxes to Production environments.
AI Governance: Enforce the Einstein Trust Layer configure Agent Users secure access permissions and ensure strict compliance with corporate data security and ethical AI practices.

Skills:

Experience: 4 years of hands-on Salesforce ecosystem experience (Admin/Developer/Consultant) with at least 1 year of dedicated experience building AI-driven CRM architectures (Agentforce or Einstein Copilot).
Salesforce Core: Strong understanding of standard automation tools (Flows Apex Lightning Web Components) to support custom Agent actions.
Data Literacy: Solid grasp of Salesforce Data Cloud data modeling ingestion and vector search strategies.
AI Core Concepts: Deep familiarity with prompt engineering guardrails LLM reasoning logic and token optimization.

Preferred Certifications

Salesforce Certified Agentforce Specialist (AI-201) (Highly Preferred/Mandatory)
Salesforce Certified AI Associate
Salesforce Certified Platform App Builder or Platform Developer I (PD1)
Salesforce Certified Data Cloud Consultant

Education: