Salesforce Tech Lead

Salesforce Tech Lead3 ROLE OVERVIEW We are seeking a next-generation Salesforce Developer with 10+ 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. Department Technology & Engineering Reports To Salesforce Technical Lead / Architect Industry Focus Healthcare, Hi-Tech, Financial Services, Manufacturing Engagement Full-Time | Consulting & Product Delivery Certifications Platform Developer I & II, AI Associate / AI Specialist AI & MODERN TOOLING EXPERTISE Candidates must demonstrate hands-on proficiency with next-generation AI tools, LLM platforms, and Salesforce AI capabilities: CORE AI PLATFORMS & LLMS Claude (Anthropic) OpenAI Codex GitHub Copilot Cursor IDE Gemini Code Assist Amazon Q Developer   SALESFORCE AI & AGENTFORCE LAYER Agentforce Agent Builder Einstein Copilot Prompt Builder Einstein GPT MCP (Model Context Protocol) Einstein Prediction Builder   DEVELOPER PRODUCTIVITY & DEVOPS Salesforce CLI / SFDX VS Code + SF Extensions Git / GitHub Copado / Gearset Jest / Apex Test Framework Postman / REST APIs   Sales Cloud: 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. Service Cloud: 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.

Cloud:: Build partner portals, patient portals, and B2B communities using LWR sites. Integrate Einstein personalisation, AI-powered search, and audience segmentation for contextual digital experiences. Revenue Cloud (CPQ & Billing) 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. Health Cloud 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. Data Cloud & Marketing Cloud 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. INDUSTRY DOMAIN KNOWLEDGE ( Any one of following ) Healthcare & Life Sciences 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 Hi-Tech & Software 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