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Lead Engineer Salesforce AI Agentforce

Emerson
Chandigarh, IND
Full-time
Lead · 3+ years experience
Hybrid
Discovered 2 weeks ago
Salesforce

Full Job Posting

Who You Are:

  • You are energized by helping Emerson innovate responsibly, turning emerging AI capabilities into trusted business tools (Nimble Learning; Strategic Mindset). You can diagnose risk without becoming a blocker, applying sound judgment to privacy, compliance, security, data readiness, and user experience trade-offs (Decision Quality; Manages Complexity). You communicate clearly with both technical teams and senior leaders, making AI governance practical and actionable (Communicates Effectively). You build alignment across functions that may see AI through different lenses, creating confidence that Agentforce capabilities can scale safely and deliver value (Collaborates; Builds Networks; Ensures Accountability).
  • For This Role, You Will Need:
  • 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
  • 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)
  • At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
  • We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Technical Skills:

  • 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
  • Interpersonal and Leadership Skills:
  • 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
  • Required Certifications:
  • Salesforce Agentforce certification
  • Salesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI / AI ethics certifications valued
  • Preferred / Nice-to-Have:
  • 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
  • Preferred Qualifications That Set You Apart:
  • 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)
  • Our Culture & Commitment to You:
  • At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
  • We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Preferred Qualifications

  • 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)
  • At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
  • We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

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