SFDC Agentforce Architect(Life Sciences Cloud)

Location:

Role Summary

Salesforce Agentforce Architect with Life Sciences Cloud (LSC) experience

Key Responsibilities

1. Solution Architecture & Design

• Own end-to-end architecture for

  Salesforce Life Sciences Cloud + Agentforce

  implementation.


• Define data models for

  HCP, HCO, Affiliations, Licenses, Interactions, Calls, Visits, Territories

  , and other objects.


• Architect modules: Customer Engagement, provider visit workflows, MSL requests, compliance guardrails, call notes capture and parsing, activity scheduling.


• Design scalable components for demos, subscription-based deployments, and repeatable accelerators.

2. Agentforce AI Design

• Build and optimize

  AI workflows

  including:
  
  
  
  • Pre-call AI briefings ( Prepare for Meeting )
  
  
  • Knowledge Search Agents and contextual content recommendations
  
  
  • AI-driven call summaries, task creation, next-step recommendations
  
  
  • Slack Agentforce GPT workflows
  
  
  • Calendar-based visit proposals
  
  


• Ensure models leverage Salesforce AI, prompts, and usage guardrails for HLS context.

3. LSC Expertise & MedPro / EHR Data

• Enable and integrate

  MedPro data

  within the LSC org.


• Design EHR data ingestion (flat file weekly feeds) for:
  
  
  
  • Patient data
  
  
  • Provider data
  
  
  • Treatment locations
  
  


• Build mapping and cleansing logic suitable for multiple clients.

4. Delivery Ownership & Governance

• Align with BVLS and Salesforce COE on roles, responsibilities, and governance model.


• Work closely with Snehal, Aaron, and offshore teams to ensure consistent build quality.


• Provide architectural guidance, reviews, design decisions, and escalation support.


• Participate in solution demos, pre-sales sessions, and client workshops.

5. Integration Architecture

• Design Slack Integrations (Slack GPT + Agentforce prompts).


• Work with integration teams to set up file-based EHR feeds.


• Support future API-based, real-time integrations (if introduced in later phases).

6. Documentation & Repeatability

• Create technical design documents, data flow diagrams, and solution accelerators.


• Standardize scripts, components, and reusable modules for subscription-based rollout.


• Work with pricing team to document technical effort for license + services pricing.

Required Skills & Experience

Core Salesforce Expertise

• 10+ years of Salesforce experience with strong Service/Sales Cloud expertise


• 3+ years experience with

  Salesforce Industry Clouds

  (preferably Life Sciences Cloud)


• Strong hands-on or architectural experience with

  Agentforce, Einstein AI, Prompt Builder, Knowledge AI, Automation

AI + Agentforce Skills

• Expertise designing AI-powered workflows


• Experience with:
  
  
  
  • AI prompt patterns
  
  
  • Summarization, recommendations
  
  
  • Next-best-action flows
  
  
  • Slack GPT integrations
  
  

Life Sciences Domain Knowledge

• Understanding of:
  
  
  
  • HCP/HCO data models
  
  
  • Field medical workflows
  
  
  • MSL processes
  
  
  • Compliance guardrails & consent frameworks
  
  
  • MedPro or EHR data structures (preferred)
  
  

Technical Skills

• Strong Lightning architecture experience


• Apex/LWC understanding (architectural oversight)


• Integration experience (REST, flat-file ingestion, middleware)


• Data modelling & migration


• Designing scalable, multi-tenant offerings

Soft Skills

• Strong communication & stakeholder engagement


• Ability to work with cross-functional teams (BVLS, COE, Offshore)


• Self-driven with solution mindset


• Ability to mentor development/config teams

Preferred Certifications

• Salesforce Application Architect / System Architect




• Life Sciences Cloud Cert (if available)




• Agentforce / Einstein AI certifications




• Salesforce Integration Architect