Role Overview
The Lead Engineer Salesforce AI Agentforce will be responsible for defining and enforcing AI governance policies, reviewing proposed AI toolsets, and advising workstream teams on Agentforce design patterns. The role will also involve auditing AI agent usage, performance, and compliance, and partnering with various teams to ensure AI controls align with Emerson enterprise policies.
What You Will Do
The Lead Engineer will be responsible for creating AI risk assessment templates, model/use-case review checkpoints, and exception processes. They will also develop reusable Agentforce patterns, documentation, training materials, and playbooks to accelerate consistent adoption across Business Groups and World Areas.
Why It Might Be a Fit
The ideal candidate will have a strong understanding of AI/ML governance frameworks, responsible AI principles, and data privacy regulations. They will also have experience in AI/ML governance, data ethics, compliance, risk management, and enterprise technology, as well as Salesforce platform leadership.
Requirements
- Salesforce Agentforce concepts
- Salesforce Einstein and AI-enabled CRM capabilities
- AI/ML governance frameworks
- Data privacy regulations and compliance considerations
- LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design
Benefits
- Competitive benefits plans
- Employee Assistance Program
- Employee resource groups
- Recognition
- Flexible time off plans
- Paid parental leave (maternal and paternal)
- Vacation and holiday leave
To apply for this job please visit hdjq.fa.us2.oraclecloud.com.
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