Salesforce Agentforce Developer

Responsibilities

• Design, develop, and deploy scalable Apex classes, triggers, batch jobs, queueables, and Lightning Web Components across multi-cloud Salesforce implementations
• Build and configure Agentforce Agents (Service, Sales, and Custom) with domain-relevant topics, actions, and instructions grounded in real business

Benefits

Additional Information

Salesforce Agentforce Developer1 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 SALESFORCE CLOUD EXPERTISE ( Any of 2 clouds as mentioned below ) 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. Experience 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 Software entitlement management, license tracking, and usage-based billing awareness FUNCTIONAL KNOWLEDGE (FOUNDATION FOR AI SOLUTIONS) 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. Sales Process Understanding 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. Customer Service Operations Knowing how service teams triage, escalate, and resolve cases across channels enables developers to design intelligent routing rules, AI deflection agents with real resolution paths, and SLA-aware automations that genuinely reduce average handle time and improve CSAT. Revenue & Quoting Cycles Understanding how products are configured, priced, discounted, and contracted allows developers to engineer dynamic CPQ rules, AI-assisted quote recommendations, and approval chains that Finance and Sales Ops teams will actually trust in production. Healthcare Workflow Literacy Developers aware of care coordination workflows, patient consent flows, clinical documentation cycles, and referral processes can embed Agentforce agents meaningfully into Health Cloud environments - designing for real clinical scenarios, not just demo happy paths.

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