Salesforce Developer

• Lead AI governance, policy development, and responsible deployment practices for Salesforce AI capabilities, including Agentforce and Einstein
• Provide design leadership for AI agents and help teams deliver governed, business-ready AI solutions
• Define, document, and enforce AI governance policies, ethical guidelines, compliance expectations, and approval standards
• Review 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 and translate requirements into governance practices
• Create AI risk assessment templates, review checkpoints, exception processes, and remediation procedures
• Advise teams on Agentforce design patterns, topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff
• Enable responsible AI innovation from concept through governed pilots, production readiness, and measurable outcomes
• Partner with Data Cloud, Data Stewardship, Integration, Security, Legal, Compliance, Architecture, and Data teams
• Develop reusable Agentforce patterns, documentation, training materials, and playbooks
• Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures
• Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting
• Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and operating models

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