Salesforce Agentforce SpecialistZensar · Sholinganallur, Tamil Nadu, India

Salesforce Agentforce Specialist

🗓️ Posted 2026-10-09 Sholinganallur, Tamil Nadu, India Full-time Remote Ok General
💰 Salary Not shared 📊 Market NA

About the Company

We are 'experience-led everything' - harnessing the power of technology, creativity, and insight to deliver impact. Zensar stands out as a premier technology consulting and services company, embracing an 'experience-led everything' philosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, services, and solutions to deliver superior engagement to high-growth companies. This full lifecycle capability - from experience to engineering to engagement - is what makes us unique. This integrated approach also means that we harness the power of technology, creativity, and insight to deliver impact - ensuring our work focuses not just on technology but also on the people who use it. Part of the 4.4 billion RPG Group, Zensar is headquartered in Pune, India. Our 10,000+ employees work across 30+ locations worldwide, including Seattle, Princeton, Cape Town, London, Singapore, and Mexico City. As an organization, we are diverse and multi-dimensional and unite across geographies and skill sets to deliver products and services that are value-driven, environmentally conscious, and human-centered. To know more, visit us at www.zensar.com. IT Services and IT Consulting Specialties: IT, BPO, Enterprise Content Management, Business Process Management, Outsourcing, Impact Sourcing, ITES, Retail, Banking & Finance, Manufacturing, Utilities

Responsibilities

  • ● orchestration-leveraging Data Cloud, building precise prompts, and designing
  • ● multi-agent environments while adhering to strict trust and security standards.
  • ● Agent Design & Orchestration
  • ● Configure AI Agents: Design and deploy autonomous agents using Agent Studio
  • ● utilizing Topics, Instructions, and Actions (TIA) to handle complex business
  • ● 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
  • ● 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.

Requirements

  • ● Technical Requirements
  • ● 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
  • ● Excellent communication skills with the ability to translate complex AI
  • ● behavior into clear business logic for stakeholders.
  • ● A strong analytical mindset to look through reasoning traces and continually
  • ● tune AI responses.