Salesforce Agentforce Specialist

Zensar; Chennai District; Sur place; INR 1 800 000 - 2 600 000; Plein temps

Résumé du poste

Zensar in Chennai is seeking an experienced AI/ML specialist to design and orchestrate autonomous agents using Agent Studio, integrating Salesforce flows and external APIs.

You will optimize prompts, grounding techniques to prevent hallucinations, manage data libraries and retrieval strategies, and oversee testing, deployment, and governance with trusted security practices.

Description du poste

Key Responsibilities

1. 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.

2. 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.

3. 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.

4. 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.