Lead Engineer Salesforce AI AgentforceEmerson · Penang, Penang, Malaysia

Lead Engineer Salesforce AI Agentforce

🗓️ Posted 2026-10-09 Penang, Penang, Malaysia Full-time Hybrid ICT
💰 Salary Not shared 📊 Market RM15,000–RM25,000/mo

About the Company

In This Role, Your Responsibilities Will Be: AI Governance, Policy & Responsible Deployment Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures, coordinating 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 ensure AI controls align with Emerson enterprise policies and risk posture Support post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and agent operating models Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world's most complex problems - for our customers, our communities, and the planet. You'll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you'll see firsthand that our people are at the center of everything we do. So, let's go. Let's think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let's go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisabilit

Requirements

  • ● Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring
  • ● Salesforce Einstein and AI-enabled CRM capabilities, with understanding of Salesforce Data Cloud as an AI data foundation
  • ● AI/ML governance frameworks, responsible AI principles, model/use-case risk assessment, bias monitoring, and AI audit practices
  • ● Data privacy regulations and compliance considerations, including GDPR, CCPA, industry-specific requirements, and enterprise security controls
  • ● LLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design
  • ● Cross-functional influence and education across business, delivery, data, security, legal, compliance, and architecture stakeholders
  • ● Risk assessment and mitigation planning with the judgment to distinguish acceptable experimentation from unacceptable enterprise risk
  • ● Clear communication of AI concepts, controls, and trade-offs to non-technical leaders and delivery teams
  • ● Pragmatic governance orientation 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
  • ● Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI / AI ethics certifications valued
  • ● 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
  • ● Bachelor's degree required in Computer Science, Information Systems, Data Science, Engineering, Business, Legal/Compliance, or a related field; advanced degree preferred
  • ● 3+ years of experience in AI/ML governance, data ethics, compliance, risk management, enterprise technology, or Salesforce platform leadership
  • ● Experience defining or operating governance frameworks for AI, analytics, automation, or data-driven technology in an enterprise context
  • ● 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
  • ● Approximately 10-20% travel (global)