Lead Engineer Salesforce AI Agentforce

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science

In short

Emerson is seeking a Lead Engineer for Salesforce AI Agentforce in Chandigarh, India. This hybrid role focuses on defining and enforcing AI governance policies, ethical guidelines, and compliance standards for AI capabilities like Agentforce and Einstein. The position also involves leading Agentforce enablement, design, and continuous improvement of AI controls and operating models.

Responsibilities

Define, document, and enforce Emerson 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 practical guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight.
Track evolving AI regulations, Salesforce trust guidance, and corporate policies, translating requirements into usable 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.
Enable responsible AI 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 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.

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.
Bachelor's degree required in Computer Science, Information Systems, Data Science, Engineering, Business, Legal/Compliance, or a related field.
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.

Desired Qualifications

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.
Advanced degree preferred.
Approximately 10-20% travel (global)

Benefits

Competitive benefits plans
Variety of medical insurance plans
Employee Assistance Program
Employee resource groups
Recognition
Flexible time off plans
Paid parental leave (maternal and paternal)
Vacation and holiday leave

Skills

Salesforce AgentforceSalesforce EinsteinSalesforce Data CloudLLMprompt engineering

#AI governance#Salesforce#Agentforce#Einstein#Data Cloud#LLM#responsible AI

About Emerson

Emerson is a leading global technology, software, and engineering company providing innovative solutions for customers in industrial and commercial markets. We help customers in the world’s most essential industries solve the biggest challenges of modern life. Every day, our global workforce fulfills our unified Purpose and lives out the Values we hold close as an organization: Integrity, Safety & Quality, Support Our People, Customer Focus, Continuous Improvement, Collaboration, and Innovation. Across the globe, we are united by a singular Purpose: We drive innovation that makes the world…

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