Salesforce Developer

Role & responsibilities

Salesforce AI/Einstein

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

• 58+ 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

  .