Sr Salesforce Developer (Health Cloud & AI)

Accountabilities

Design, develop, test, and deliver Salesforce Health Cloud features using Apex, Lightning Web Components (LWC), SOQL, and Salesforce Flow in line with the ACTICS roadmap.

Build and maintain Salesforce integrations using REST APIs, Platform Events, and external services, collaborating with the MuleSoft integration team.

Deliver committed work within sprint timelines and a parallel-track development environment.

Use AI development tools such as Claude Code, Cursor, and GitHub Copilot as primary tools for coding, testing, and development workflows.

Integrate and use AI Hub agents within Salesforce workflows, including intake automation, missing-information workflows, QNCR reporting, and workload queue intelligence.

Apply test-first AI prompting techniques to generate unit tests and support Apex test coverage.

Review, validate, and refine all AI-generated code to ensure it meets ACTICS quality standards before committing changes.

Collaborate with the AI Solutions Engineer to integrate agents on the Salesforce side and safely expose Salesforce data and actions to those agents.

Contribute reusable prompts, development patterns, and feedback to shared libraries and AI agent improvements.

Participate in code reviews, assessing both conventional and AI-generated code for correctness, reliability, and maintainability.

Follow PHI and HIPAA requirements when handling protected health information across Salesforce and AI-assisted development activities.

Requirements:

At least 5 years of Salesforce development experience, particularly with Apex, Lightning Web Components, and SOQL.

Experience working with Salesforce Health Cloud or a comparable Salesforce industry cloud.

Practical experience building Salesforce integrations using REST APIs, Platform Events, or external services.

Experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or Einstein for Developers, or strong readiness to adopt them as part of daily development.

Understanding of prompt engineering for code generation and the ability to critically review, test, and validate AI-generated code.

Ability to work effectively in a fast-paced environment with compressed timelines and parallel delivery tracks.

Strong collaboration, communication, problem-solving, and code-review skills.

Salesforce Platform Developer I or II certification is preferred.

Experience in healthcare, life sciences, or patient services is an advantage.

Exposure to AI agents, Retrieval-Augmented Generation (RAG), or LLM-based workflows in a development context is preferred.

Familiarity with MuleSoft or DataWeave is an advantage.

Experience with Git, Azure DevOps, and JIRA is beneficial.

Ability to contribute to measurable delivery outcomes, including roadmap execution, AI-assisted code generation, test automation, and integration of priority AI agents into Salesforce workflows.

Benefits:

The role is based in India.

Both full-time employee and contractor engagement options are available, with identical responsibilities.

Salary, healthcare coverage, paid leave, and other specific benefits are not detailed in the original job description.