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Agent-force Salesforce Engineer

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Remote

Agent-force Salesforce Engineer

Intransitive Tech Services Gurgaon

Agent-force Salesforce Engineer

Skills

AISalesforce

16 days ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,500,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

8 October 2026

What they need


Agentforce Engineer Salesforce AI

Location: Remote – India
Onboarding: One-time visit to Dubai for onboarding and laptop collection - Travel / Food Paid
Contract: 6 Months Initial – Strong Potential for Long-Term Extension
Start: ASAP
Interview: MS Teams video call & face-to-face if required

Role Overview

We are looking for an experienced Salesforce Agentforce Engineer to join a major digital transformation programme.

This is a hands-on, client-facing role focused on designing, building and deploying AI-powered solutions using Salesforce Agentforce. You will work closely with business and technology stakeholders to identify high-value AI and automation opportunities, rapidly prototype solutions and take successful use cases through to production.

This is not a traditional Salesforce development role. We are looking for someone who combines strong Salesforce engineering expertise, hands-on Agentforce/AI experience and solution consulting capability.

Key Responsibilities

  • Design, build, configure and deploy Salesforce Agentforce solutions and autonomous AI agent workflows.
  • Identify and prioritise high-value AI, automation and Agentforce use cases with business stakeholders.
  • Configure Agentforce agents, actions, topics, instructions and supporting workflows.
  • Develop Salesforce solutions using Apex, Flow, APIs and integration technologies.
  • Integrate Agentforce with Salesforce data, enterprise platforms, APIs and external systems.
  • Work with Salesforce data architecture to ensure agents have access to trusted enterprise data.
  • Rapidly prototype, test, iterate and productionise AI-powered solutions.
  • Support security, governance, scalability and responsible AI adoption.
  • Lead client workshops, discovery sessions, demonstrations and technical discussions.
  • Work closely with Salesforce Architects, Developers, Data teams and business stakeholders.
  • Continuously enhance Agentforce solutions based on business feedback and performance.

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