Lead Engineer, Salesforce AI

Emerson

. Define, document, and enforce Emerson AI governance policies, ethical guidelines, compliance expectations, and approval standards for Salesforce AI capabilities, including Agentforce and Einstein .

Posted 10/31/2026full-timeEscazú • Costa RicaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI governance, compliance, and risk management, with a strong focus on Salesforce Agentforce and Einstein capabilities. Proficient in translating complex AI concepts into actionable guidelines while ensuring adherence to data privacy regulations and ethical standards.

Highest-signal resume keywords

Salesforce Agentforce CertificationAI/ML Governance FrameworksData Privacy RegulationsSalesforce Einstein CapabilitiesRisk Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI GovernanceData EthicsCompliance ManagementRisk AssessmentPrompt EngineeringAudit PracticesData GroundingModel ReviewAgent DesignBias Monitoring

Soft Skills

Clear CommunicationAdvisory SkillsCollaborationProblem-SolvingContinuous Improvement

Tools & Technologies

SalesforceData CloudAI ToolsetsAgentforceEinstein

Certifications & Qualifications

Salesforce Agentforce Certification

Industry Keywords

GDPRCCPAResponsible AI PrinciplesEnterprise Security ControlsAI Audit Practices

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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 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, translating requirements into governance practices
Create AI risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures
Advise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff to human users
Enable governed pilots, production readiness, and measurable business outcomes
Partner with Data Cloud, Data Stewardship, and Integration teams to ensure grounding data is accurate, permission-aware, compliant, and fit for use
Develop reusable Agentforce patterns, documentation, training materials, and playbooks
Audit AI agent usage, performance, quality, compliance, bias risk, and outcome measures; coordinate remediation
Define AI trust and safety metrics, adoption metrics, value measures, and executive reporting
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

Requirements

What you’ll need

Salesforce Agentforce certification required
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
Salesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring
Salesforce Einstein and AI-enabled CRM capabilities
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
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% global travel

Benefits

Comp & perks

Competitive benefits plans
Variety of medical insurance plans
Employee Assistance Program
Employee resource groups
Recognition programs
Flexible time off plans
Paid parental leave (maternal and paternal)
Vacation and holiday leave
Mentorship, training, and leadership opportunities
Ongoing career development
Approximately 10-20% global travel