Salesforce Agentforce Engineer / Health Cloud Developer

Mphasis

• $100K — $130K *
New York, NY 10025In-Person
Healthcare
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Strong technical background in Salesforce and AI technologies.
  • Excellent problem-solving skills and stakeholder communication abilities.
  • Commitment to ethical AI practices.
  • Experience with Salesforce (Agentforce, Service Cloud, Sales Cloud, Data Cloud, Health Cloud).
  • Proficiency in Apex, Lightning Web Components (LWC), and Flows.

Responsibilities

  • Analyze business requirements and identify AI use cases.
  • Design agent roles, topics, actions, and governance.
  • Build agents using Salesforce - Agentforce.
  • Develop workflows utilizing Flows, Apex, and APIs.
  • Integrate AI solutions with Salesforce Clouds and external systems.
  • Automate cases, leads, and document processing to improve efficiency.
  • Test, deploy, and monitor AI agents for performance optimization.

Benefits

  • Work in a collaborative in-office environment in Hartford, Connecticut.
  • Opportunity to lead innovative AI-powered projects in a growing sector.
  • Access to cutting-edge technology and tools in AI and Salesforce ecosystem.
Full Job Description
Role description

Job Title: Salesforce Agentforce Engineer / Health Cloud Developer

Location: Hartford, Connecticut : In-Office

Job Summary:

The Salesforce Agentforce Health Cloud developer is responsible for designing, developing, and implementing AI-powered autonomous agents within the Salesforce ecosystem. This role focuses on building intelligent agentic AI solutions that automate business workflows, enhance customer engagement, and drive operational efficiency across Sales, Service, and Marketing functions.

Qualifications:

We are looking for a candidate with a strong technical background in Salesforce and AI technologies, particularly in the context of autonomous agents. The ideal candidate will possess excellent problem-solving skills, effective stakeholder communication abilities, and a commitment to ethical AI practices.

Responsibilities:
  1. Agentforce Solution Design & Architecture:
    • Analyze business requirements and identify AI use cases.
    • Design agent roles, topics, actions, and governance.
    • Define scalable enterprise AI architecture.
  2. AI Agent Development & Implementation:
    • Build agents using Salesforce - Agentforce.
    • Develop workflows using Flows, Apex, and APIs.
    • Implement GenAI, prompts, and automation.
  3. Integration & Data Enablement:
    • Integrate with Salesforce Clouds and external systems.
    • Enable Data Cloud and unified data models.
    • Ensure governance and security.
  4. Workflow Automation:
    • Automate cases, leads, and document processing.
    • Improve efficiency and productivity.
  5. Testing & Deployment:
    • Test, deploy, and monitor AI agents.
    • Optimize performance and accuracy.
  6. Governance & Responsible AI:
    • Implement guardrails and compliance controls.
    • Ensure ethical AI usage.
  7. Stakeholder Collaboration:
    • Conduct workshops and advisory sessions.
    • Work with business and tech stakeholders.

Mandatory Skills:
  • Salesforce (Agentforce, Service Cloud, Sales Cloud, Data Cloud, Health Cloud)
  • Apex, Lightning Web Components (LWC), Flows
  • Prompt Engineering Specialist
  • SAP Integration
  • Expertise in Salesforce - Agentforce technology

Preferred Skills:
  • Experience with Salesforce - Data Cloud and Salesforce - Einstein AI (Sales Cloud Einstein, Einstein for Service, Einstein for Marketing, Commerce Cloud Einstein, etc)
  • Domain experience in Healthcare or Banking, Financial Services, and Insurance (BFSI)


* Ladders Estimates

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