Salesforce Developer

• Define, document, and enforce Emerson AI governance policies, ethical guidelines, compliance expectations, and approval standards for Salesforce AI capabilities, including Agentforce and Einstein
• Review proposed AI toolsets and agent use cases for regulatory, ethical, privacy, security, and business-process readiness
• Establish guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight
• Track evolving AI regulations, Salesforce trust guidance, and corporate policies, translating requirements into governance practices
• Create AI risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures
• Advise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff to human users
• Enable governed pilots, production readiness, and measurable business outcomes
• Partner with Data Cloud, Data Stewardship, and Integration teams to ensure grounding data is accurate, permission-aware, compliant, and fit for use
• Develop reusable Agentforce patterns, documentation, training materials, and playbooks
• Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures; coordinate remediation
• Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting
• Partner with Security, Legal, Compliance, Architecture, and Data teams to align AI controls with enterprise policies and risk posture
• Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and agent operating models

Explore Lead Engineer, Salesforce AI at Emerson. Review requirements and application details.

Salesforce Developer jobs in Costa Rica

Lead Engineer, Salesforce AI

Mid Salesforce Developer