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jadeglobal is seeking a Senior Salesforce Developer with 7+ years of experience to deliver AI-augmented Salesforce solutions. You will collaborate with the Salesforce Technical Lead and cross-functional teams to design scalable architectures leveraging Agentforce Agents and MCP.
You will translate complex business processes in Healthcare, Hi-Tech, and other industries into practical implementations, blending Salesforce expertise with modern AI tooling and DevOps practices to accelerate delivery.
We are seeking a next-generation Salesforce Developer with 7+ years of experience who blends deep Salesforce platform expertise with AI-driven development practices. This role goes beyond writing Apex and LWC - you will co-author intelligent solutions using Agentforce Agents, integrate AI models via Model Context Protocol (MCP), and leverage tools like Claude, GitHub Copilot, Cursor, and Codex to accelerate delivery. Equally critical is your functional fluency across Healthcare and Hi-Tech domains, enabling you to translate complex business workflows directly into scalable, AI-augmented Salesforce solutions without constant handholding from Business Analysts.
Technology & Engineering
Salesforce Technical Lead / Architect
Healthcare, Hi-Tech, Financial Services, Manufacturing
Full-Time | Consulting & Product Delivery
Platform Developer I & II, AI Associate / AI Specialist
Candidates must demonstrate hands‑on proficiency with next‑generation AI tools, LLM platforms, and Salesforce AI capabilities:
Deep expertise in Lead‑to‑Opportunity lifecycle, Territory Management, Forecasting, and Activity Timelines. Build AI‑assisted rep coaching nudges and pipeline automations using Agentforce Sales Agents and Next Best Action.
Proficiency in Case Management, Entitlements, SLA enforcement, Omni‑Channel routing, and Knowledge Base management. Deploy Agentforce Service Agents for intelligent case deflection, auto‑resolution, and escalation management.
Build partner portals, patient portals, and B2B communities using LWR sites. Integrate Einstein personalisation, AI‑powered search, and audience segmentation for contextual digital experiences.
Configure and extend CPQ product catalogues, pricing waterfalls, bundle rules, discount schedules, and approval chains. Automate quote generation and contract amendments using AI Prompt Templates and Agentforce.
Develop on Care Plans, Patient 360 timeline, Referral Management, and the FHIR Interoperability Hub. Implement AI‑assisted care gap identification and proactive patient outreach automations.
Build Data Cloud calculated insights and activation flows that feed personalised journeys in Marketing Cloud. Understand how unified customer profiles power AI segmentation and Einstein‑driven content recommendations.
Understanding of Patient Lifecycle: acquisition, care coordination, treatment, discharge, and follow‑up automation.
HIPAA compliance, PHI handling, field‑level encryption, and consent management within Salesforce.
HL7/FHIR R4 standards and Salesforce Health Cloud Interoperability Hub integration patterns with EHR systems.
Prior Authorization, referral management, care plan automation, and population health workflow awareness.
Value‑based care models and how AI can drive outcomes tracking and proactive care gap closure.
SaaS business models: ARR, MRR, NRR, churn, expansion revenue, and renewal lifecycle awareness.
Lead‑to‑cash process knowledge: SDR workflows, AE handoffs, CSM playbooks, and renewal automation.
Partner ecosystems: deal registration, co‑sell motions, reseller pricing tiers, and MDF management.
Product‑Led Growth (PLG) integration: product usage telemetry triggering Salesforce actions via MCP/API.
Software entitlement management, license tracking, and usage‑based billing awareness.
Deep functional knowledge enables professionals to design AI‑powered Salesforce solutions that reflect real business intent - not just technical requirements. This is what separates good implementations from transformative ones.
A developer who understands the full sales funnel - from lead generation and qualification through negotiation to closed‑won - can build smarter Agentforce Sales Agents, more meaningful pipeline automations, and AI scoring models grounded in real selling behaviour, without requiring constant BA intervention.
Knowing how service teams triage,