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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Salesforce developer title with general appeal but specialized Agentforce/AI certifications reduce density.
Strong Salesforce and Agentforce specialization plus required certifications limit easy cross-industry transferability.
Multiple mandatory certifications and explicit Salesforce development years make filters stringent and selective.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and support enterprise-scale Salesforce solutions focusing on AI-driven automation and Agentforce capabilities.
Lead architecture and implementation of Agentforce AI Agents, Data Cloud integrations, and advanced automation frameworks, ensuring adherence to security and Responsible AI practices.
Provide technical leadership including DevOps maturity, mentoring team members, and delivering innovative Salesforce and AI solutions aligned with business objectives.
Minimum Requirements
Minimum 5 years of hands-on Salesforce development experience in enterprise production environments; overall IT experience preferred at 10 years.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical discipline.
Mandatory Salesforce certifications: Salesforce Certified Administrator, Platform Developer I (PD1), and Agentforce Specialist.
Proficiency in Apex, Lightning Web Components (LWC), Salesforce Flows, JavaScript, Node.js, Salesforce DX, CI/CD practices, and experience with Agentforce AI and Data Cloud integrations.
Ideal Candidate Profile
Experienced in designing and implementing complex, AI-powered Salesforce solutions with deep understanding of Agentforce and autonomous AI agents.
Strong technical leader capable of driving DevOps excellence, mentoring, and working independently across global distributed teams.
Skilled in integrating Salesforce with enterprise systems using API-first and headless architectures, and adept in AI governance and Responsible AI implementation.