Sr Salesforce Developer (Health Cloud & AI)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Salesforce Developer (Health Cloud & AI) based in India.

This is a senior, hands-on Salesforce engineering role focused on delivering Health Cloud capabilities in an AI-first development environment. You will build and ship business-critical features using Apex, LWC, SOQL, Flow, and modern integration patterns. The role combines deep Salesforce expertise with AI-assisted development through tools such as Claude Code, Cursor, and GitHub Copilot. You will also integrate AI-powered agents into Salesforce workflows while ensuring enterprise-grade security, quality, and reliability. Working closely with AI engineering, integration, and delivery teams, you will help accelerate development without compromising engineering standards. The environment is fast-paced, collaborative, and healthcare-focused, with particular attention to PHI/HIPAA requirements. Success means delivering roadmap features faster, integrating reusable AI capabilities, and establishing a higher standard for AI-augmented Salesforce development.

Accountabilities:: Salesforce development: Design, develop, test, and deploy Salesforce Health Cloud features using Apex, Lightning Web Components (LWC), SOQL, and Flow in line with the product roadmap.

Integrations: Build and maintain Salesforce integrations using REST APIs, Platform Events, and external services while coordinating closely with integration specialists.

AI-first development: Use AI development tools such as Claude Code, Cursor, GitHub Copilot, or similar solutions as part of the core daily development workflow.

AI-assisted testing: Apply test-first development practices by using AI to generate unit tests and improve Apex test coverage, while independently validating all generated output.

AI agent integration: Consume and integrate reusable AI agents into Salesforce workflows, including capabilities supporting intake automation, missing-information workflows, reporting, and workload intelligence.

Code quality and governance: Review AI-generated code critically, ensuring all implementations meet established engineering, security, and quality standards before deployment.

Cross-functional collaboration: Partner with AI engineering and integration teams to expose Salesforce data and actions safely to AI agents and contribute to the development of reusable AI patterns.

Continuous improvement: Participate in code reviews, contribute reusable prompts and development patterns, and provide feedback that improves AI-assisted workflows and engineering practices.

Delivery: Manage sprint commitments in a fast-moving, parallel-track environment while maintaining delivery quality despite compressed timelines.

Healthcare compliance: Apply appropriate PHI/HIPAA handling practices across Salesforce development, integrations, and AI-assisted workflows.

Success measures: Consistently deliver roadmap features at AI-accelerated velocity targets, demonstrate effective adoption of AI development tooling, and successfully integrate priority AI agents into Salesforce workflows.

Requirements

Salesforce experience: 5+ years of professional Salesforce development experience with strong hands-on expertise in Apex, LWC, and SOQL.

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

Integration expertise: Practical experience developing Salesforce integrations using REST APIs, Platform Events, external services, or similar technologies.

AI-assisted development: Demonstrated experience using, or strong readiness to adopt, AI development tools such as Claude Code, GitHub Copilot, Cursor, or Einstein for Developers.

Prompt engineering: Understanding of prompt engineering for software development and the ability to critically evaluate, test, and refine AI-generated code.

Engineering quality: Strong understanding of Salesforce development best practices, testing, code review, debugging, and deployment processes.

Delivery mindset: Comfortable working independently in a fast-paced environment with compressed timelines, multiple priorities, and parallel delivery tracks.

Healthcare technology: Experience in healthcare, life sciences, or patient services is an advantage, particularly where sensitive data and regulatory requirements are involved.

AI/LLM exposure: Familiarity with AI agents, RAG, LLM-based workflows, or related technologies in a software development context is a plus.

Certifications: Salesforce Platform Developer I or II certification is preferred.

Integration platform knowledge: Exposure to MuleSoft or DataWeave is beneficial.

Technical stack: Familiarity with Salesforce Platform, Health Cloud, MuleSoft, Git, Azure DevOps, JIRA, and modern AI development tooling.

Collaboration: Strong communication and teamwork skills, with the ability to work effectively with AI engineers, integration specialists, developers, and other stakeholders.

Adaptability: Comfortable embracing new AI-enabled engineering practices and continuously improving how software is designed, developed, tested, and delivered.

Benefits

Opportunity to work on AI-first Salesforce development at the intersection of healthcare technology and enterprise AI.

Hands-on exposure to Salesforce Health Cloud, AI agents, LLM-powered workflows, and modern developer-assistance platforms.

Opportunity to contribute to reusable AI development patterns and influence emerging engineering practices.

Collaborative environment working alongside Salesforce, AI engineering, and integration specialists.

Exposure to healthcare and life-sciences technology with a meaningful focus on improving patient services.

Inclusive culture centered on patient impact, innovation, continuous learning, collaboration, and professional growth.

Opportunity to work with modern technologies including Claude Code, Cursor, GitHub Copilot, MuleSoft, and Salesforce Health Cloud.

The role may be available in both full-time and contractor formats , with responsibilities aligned across both arrangements.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1