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Salesforce Developer

Salesforce Developer

CIRRUSLABS PRIVATE LIMITEDBangalore
30+ days ago
Job description

Salesforce Developer (AI / Einstein)

Note : This is not an AI chatbot role. We need a Salesforce developer who can design, build, and productionize Salesforce-native AI (Einstein) capabilities and data-driven features inside the Salesforce platform.

Role Overview :

Were seeking a hands-on Salesforce Developer who pairs strong Apex / LWC skills with practical experience enabling Salesforce AI / Einstein features (Prediction Builder, Discovery, Next Best Action, Data Cloud, CRM Analytics). Youll help TAMS teams deliver AI-assisted workflows and insights for healthcare operations, ensuring scale, security, and compliance (HIPAA / PHI).

Key Responsibilities :

Build on-platform AI features :

  • Implement Einstein / Prediction Builder models and integrate predictions into record pages, flows, and LWC.
  • Configure Next Best Action strategies with invocable actions and decisioning rules.
  • Use Einstein Discovery / CRM Analytics to surface prescriptive insights in Salesforce.
  • Leverage Data Cloud (if in-scope) for profile unification, calculated insights, and activations.

Application development :

  • Design and develop Apex (triggers, classes, REST), LWC, and Flows with test coverage and guardrails.
  • Create scalable, reusable components to consume AI outputs (scores, recommendations) in UI and automation.
  • Data and integration :

  • Build robust API integrations (REST / SOAP, Platform Events) with enterprise systems (eligibility, claims, provider, care / UM).
  • Partner with data teams on feature engineering, data contracts, data quality, and monitoring for AI use cases.
  • Governance & DevOps :

  • Follow HIPAA / PHI handling, Salesforce Shield / data masking where applicable, and least-privilege patterns.
  • Use SFDX / Git-based CI / CD (e.g., Azure DevOps / GitHub Actions) and proper branching / release management.
  • Quality & Observability :

  • Establish test strategies (unit / integration / UAT), monitoring, bias checks for predictions, and result explainability.
  • Document solution designs, runbooks, and KT for TAMS support teams.
  • Must-Have Qualifications :

  • 5- 8+ years Salesforce development (Apex, LWC, Flows, SOQL, Platform Events) with enterprise-scale releases.
  • Hands-on with Salesforce AI / Einstein in production (at least two of) :

  • Prediction Builder (end-to-end : dataset, labels, model deployment, embedding predictions in flows / LWC)
  • Einstein Discovery / CRM Analytics (Tableau CRM) (stories, what-if analysis, prescriptions)
  • Next Best Action (strategy builder, action frameworks)
  • Data Cloud (data streams, identity resolution, calculated insights, activations)
  • Strong API / integration skills (Apex callouts, Named Credentials, OAuth 2.0; middleware familiarity a plus).
  • Proven experience in healthcare domain (payer / provider), or similarly regulated industries; working knowledge of HIPAA / PHI safeguards.
  • Solid CI / CD with SFDX and Git; code quality tooling; automated tests (?75% coverage with meaningful assertions).
  • Certifications : Salesforce Platform Developer I (required). (List all current certs on submission.)
  • Nice-to-Have :

  • Salesforce Platform Developer II, Data Cloud Consultant, CRM Analytics & Einstein Discovery certs.
  • Experience with MuleSoft, Event-Driven patterns, and external model integrations via invocable actions.
  • Feature engineering / data quality for predictions; bias / accuracy monitoring playbooks.
  • Healthcare standards exposure (FHIR / HL7, payer data models, UM / authorizations).
  • Shield (encryption, FLS, audit trail), Transaction Security.
  • (ref : hirist.tech)

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