Lead Engineer Salesforce AI Agentforce

Role Overview

This role will lead AI governance, policy development, and responsible deployment practices for Salesforce AI capabilities, including Agentforce and Einstein. The successful candidate will provide design leadership for AI agents, help teams deliver governed and business-ready AI solutions, and oversee monitoring, audit, and continuous improvement activities to ensure AI solutions remain compliant, secure, and effective.

What You Will Do

Define, document, and enforce Emerson AI governance policies, review proposed AI toolsets and agent use cases, establish practical guardrails for agent design, track evolving AI regulations, and create AI risk assessment templates.

Why It Might Be a Fit

The successful candidate will be energized by helping Emerson innovate responsibly, turning emerging AI capabilities into trusted business tools. They will diagnose risk without becoming a blocker, applying sound judgment to privacy, compliance, security, data readiness, and user experience trade-offs.

Requirements

• Knowledge of Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring.
• Experience with AI/ML governance frameworks, responsible AI principles, model/use-case risk assessment, bias monitoring, and AI audit practices.
• Knowledge of data privacy regulations and compliance considerations, including GDPR, CCPA, industry-specific requirements, and enterprise security controls.
• Understanding of LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design.
• Experience influencing and educating cross-functional stakeholders across business, delivery, data, security, legal, compliance, and architecture teams.
• Experience with risk assessment and mitigation planning, with the judgment to distinguish acceptable experimentation from unacceptable enterprise risk.
• Ability to clearly communicate AI concepts, controls, and trade-offs to non-technical leaders and delivery teams.
• Experience applying a pragmatic governance approach that accelerates responsible innovation rather than creating unnecessary friction.
• Curiosity, regulatory awareness, and disciplined learning in a rapidly evolving AI technology landscape.
• Salesforce Agentforce certification.
• Certification in Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI/AI ethics.

Benefits

• Competitive benefits plans
• A variety of medical insurance plans
• Employee Assistance Program
• Employee resource groups
• Recognition
• Flexible time off plans
• Paid parental leave (maternal and paternal)
• Vacation and holiday leave

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