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Emerson Electric

Builds industrial automation tools and software

Lead Engineer Salesforce AI Agentforce

Risk & ComplianceConfirmed live in the last 24 hours
Full-timeMandaluyong City, Metro Manila, PhilippinesNo salary listed

About the Job

Requirements

  • Knowledge of Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring.
  • Knowledge of Salesforce Einstein and AI-enabled customer relationship management capabilities, with understanding of Salesforce Data Cloud as an artificial intelligence data foundation.
  • Experience with artificial intelligence and machine learning governance frameworks, responsible artificial intelligence principles, model/use-case risk assessment, bias monitoring, and artificial intelligence audit practices.
  • Knowledge of data privacy regulations and compliance considerations, including the General Data Protection Regulation, the California Consumer Privacy Act, industry-specific requirements, and enterprise security controls.
  • Understanding of large language model capabilities and 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, including the judgment to distinguish acceptable experimentation from unacceptable enterprise risk.
  • Ability to communicate artificial intelligence 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 artificial intelligence technology landscape.
  • Salesforce Agentforce certification.
  • Certification in Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible artificial intelligence/artificial intelligence ethics.

Responsibilities

  • Define, document, and enforce Emerson artificial intelligence governance policies, ethical guidelines, compliance expectations, and approval standards for Salesforce artificial intelligence capabilities, including Agentforce and Einstein.
  • Review proposed artificial intelligence toolsets and agent use cases across business functions for regulatory, ethical, privacy, security, and business-process readiness.
  • Establish practical guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight.
  • Track evolving artificial intelligence regulations, Salesforce trust guidance, and corporate policies, translating requirements into usable governance practices for delivery teams.
  • Create artificial intelligence risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures for Salesforce artificial intelligence deployments.
  • Advise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff to human users.
  • Enable responsible artificial intelligence innovation by helping teams move 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 accelerate consistent adoption across Business Groups and World Areas.
  • Audit artificial intelligence agent usage, performance, quality, compliance, bias risk, and outcome measures, coordinating remediation actions when issues are identified.
  • Define artificial intelligence trust and safety metrics, adoption metrics, value measures, and executive reporting for Salesforce artificial intelligence capabilities.
  • Partner with Security, Legal, Compliance, Architecture, and Data teams to ensure artificial intelligence controls align with Emerson enterprise policies and risk posture.
  • Support post-deployment reviews, incident learnings, and continuous improvement of artificial intelligence governance standards and agent operating models.

Desired Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Business, or Legal/Compliance, or a related field; an advanced degree is preferred.
  • At least 3 years of experience in artificial intelligence and machine learning governance, data ethics, compliance, risk management, enterprise technology, or Salesforce platform leadership.
  • Experience defining or operating governance frameworks for artificial intelligence, analytics, automation, or data-driven technology in an enterprise context.
  • Strong understanding of data privacy, security, compliance, auditability, and responsible artificial intelligence principles.
  • Ability to translate complex artificial intelligence concepts and risks into clear guidance for technical, business, legal, and executive audiences.
  • Experience with manufacturing, industrial, commercial, service, or channel artificial intelligence use cases.
  • Hands-on experience with Salesforce Einstein, Agentforce, Data Cloud, or customer relationship management automation.
  • Formal artificial intelligence ethics, responsible artificial intelligence, privacy, security, or compliance certification.
  • Familiarity with Salesforce Trust Layer concepts, permission-aware grounding, and enterprise artificial intelligence assurance practices.
  • Experience designing artificial intelligence governance for global, matrixed organizations.
  • Approximately 10–20% global travel.

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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