Senior Salesforce Developer – Health Cloud, AI
Posted 17hrs ago
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Job Description
Senior Salesforce developer building AI-accelerated Health Cloud features for EVERSANA’s life sciences clients. Delivering Apex, LWC, integrations, testing, and AI-agent workflows.
Responsibilities:
- Design, build, and ship Salesforce Health Cloud features using Apex, Lightning Web Components, SOQL, and Flow according to the ACTICS roadmap
- Build and maintain Salesforce integrations via REST APIs and Platform Events, coordinating with the MuleSoft integration team
- Deliver sprint commitments in a parallel-track delivery model with compressed timelines
- Use Claude Code, Cursor, and GitHub Copilot as primary daily development tooling
- Consume COE-built agents within Salesforce workflows, including intake automation, missing-information workflow, QNCR reporting, and workload queue intelligence
- Generate and validate unit tests and Apex test coverage with AI assistance
- Validate AI-generated code against ACTICS quality standards before commit
- Pair with the AI Solutions Engineer on Salesforce-side agent integration and safely expose Salesforce data and actions to agents
- Contribute reusable prompts and patterns to the shared prompt/pattern library
- Provide feedback to improve COE agents
- Participate in code reviews with attention to AI-generated work correctness
- Uphold PHI/HIPAA handling standards in Salesforce and AI-assisted work
- Deliver ACTICS roadmap features at AI-accelerated velocity targets
- Integrate COE-built agents into Salesforce workflows for priority use cases
Requirements:
- 5+ years of Salesforce development experience, including Apex, LWC, and SOQL
- Experience with Salesforce Health Cloud or a comparable Salesforce industry cloud
- Experience building Salesforce integrations using REST APIs, Platform Events, and external services
- Demonstrated use of, or strong readiness to adopt, Claude Code, GitHub Copilot, Cursor, or Einstein for Developers
- Sound understanding of prompt engineering for code generation and critical review of AI-generated code
- Comfortable delivering in a fast-paced, compressed-timeline, parallel-track environment
- Salesforce Platform Developer I/II certification preferred
- Healthcare, life-sciences, or Patient Services domain experience preferred
- Exposure to AI agents, RAG, or LLM-based workflows preferred
- MuleSoft or DataWeave familiarity preferred
- Uphold PHI/HIPAA handling standards
- Full-time employment
Benefits:
- Great Place to Work certification
- Equal Opportunity Employer
- Inclusive and diverse workplace culture
















