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Emerson Electric

Builds industrial automation tools and software

Lead Engineer Salesforce AI Agentforce

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeSan José Province, Escazu, Costa RicaNo salary listed

About the Job

Requirements

  • Salesforce Agentforce certification is required.
  • Knowledge of Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring.
  • Knowledge of Salesforce Einstein and AI-enabled CRM capabilities, including Salesforce Data Cloud as an AI data foundation.
  • Knowledge of 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.
  • Knowledge of LLM capabilities and limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design.
  • Ability to influence and educate cross-functional business, delivery, data, security, legal, compliance, and architecture stakeholders.
  • Ability to assess risk and plan mitigations, distinguishing acceptable experimentation from unacceptable enterprise risk.
  • Ability to communicate AI concepts, controls, and trade-offs to non-technical leaders and delivery teams.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Business, Legal/Compliance, or a related field.
  • At least 3 years of experience in AI/ML governance, data ethics, compliance, risk management, enterprise technology, or Salesforce platform leadership.
  • Strong understanding of data privacy, security, compliance, auditability, and responsible AI principles.
  • Ability to translate complex AI concepts and risks into clear guidance for technical, business, legal, and executive audiences.

Responsibilities

  • Define, document, and enforce 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 across business functions 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 for delivery teams.
  • Create AI risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures for Salesforce AI deployments.
  • Advise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff to human users.
  • Help teams progress from concept to governed pilots, production readiness, and measurable business outcomes.
  • Partner with Data Cloud, Data Stewardship, and Integration teams to ensure agent grounding data is accurate, permission-aware, compliant, and fit for intended use.
  • Develop reusable Agentforce patterns, documentation, training materials, and playbooks to support consistent adoption across Business Groups and World Areas.
  • Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures, and coordinate remediation actions when issues are identified.
  • Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting for Salesforce AI capabilities.
  • 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.

Desired Qualifications

  • Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI/AI ethics certifications.
  • Experience with manufacturing, industrial, commercial, service, or channel AI use cases.
  • Hands-on Salesforce Einstein, Agentforce, Data Cloud, or CRM automation experience.
  • Formal AI ethics, responsible AI, privacy, security, or compliance certification.
  • Familiarity with Salesforce Trust Layer concepts, permission-aware grounding, and enterprise AI assurance practices.
  • Experience designing AI governance for global, matrixed organizations.
  • An advanced degree.

About the Company

Emerson Electric

Builds industrial automation tools and software

Emerson Electric builds automation equipment and software for organizations that operate factories, utilities, and industrial facilities. Its instruments measure conditions such as pressure and flow, while valves, controllers, and software help operators regulate processes and track equipment performance. DeltaV manages industrial control systems, and the company also develops test and measurement tools used to validate electronic products. Customers pay for equipment, software licenses, and services that support installation, maintenance, and operation across a plant's life. Emerson was founded in 1890 and is headquartered in Clayton, Missouri, in the St. Louis area.

Company size
10,001+
Company stage
IPO
Headquarters
Clayton, MO
Founded
1890

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