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MetroStar

Sr. AI Engineer I (Salesforce) (6637)

MetroStar
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1 day ago
Washington, DC, USASenior

Base Salary

$170k - $185k/yr

Responsibilities

  • Design, develop, and deploy AI-driven Salesforce applications.
  • Build and maintain custom Salesforce solutions using Apex and Lightning Web Components.
  • Design and deploy Salesforce Agentforce agents to automate business processes.
  • Develop autonomous agents for business functions and workflow orchestration.
  • Implement AI-driven workflow automation using Salesforce AI capabilities.
  • Configure prompts and workflows for effective AI solutions.
  • Design human-in-the-loop AI experiences balancing automation and governance.
  • Build AI-native user experiences integrating intelligent recommendations.
  • Develop integrations between Salesforce and external systems.
  • Design scalable architectures combining structured and unstructured data.
  • Develop reports and analytics leveraging CRM Analytics and Data Cloud.
  • Collaborate with cross-functional teams to align AI solutions with business objectives.
  • Leverage AI-assisted tools to improve software delivery and code quality.
  • Ensure solutions comply with security and governance standards.
  • Support Agile development activities including sprint planning and code reviews.
  • Troubleshoot and optimize Salesforce applications and workflows.

Requirements

  • Bachelor’s degree in a relevant technical discipline.
  • Active Secret clearance.
  • Must be local to the DMV area for onsite support.
  • Salesforce Platform Developer I Certification and Salesforce AI Associate Certification.
  • 5+ years of experience developing Salesforce applications in enterprise environments.
  • Hands-on experience with Salesforce Agentforce, Einstein AI, and Data Cloud.
  • Experience developing AI-powered solutions and intelligent automation.
  • Experience integrating Salesforce with external systems using APIs.
  • Strong understanding of Salesforce security and compliance.
  • Experience in Agile development and continuous delivery environments.

Benefits

  • Health, dental, and vision insurance.
  • 401(k) retirement plan with company match.
  • Paid time off (PTO) and holidays.
  • Parental Leave and dependent care.
  • Flexible work arrangements.
  • Professional development opportunities.
  • Employee assistance and wellness programs.

Categories

AI & MLBackendData Science