Merceradvisors
Senior Salesforce Engineer
engineeringfull-timeRemote, USA
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
fintech
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About the role
Job Summary
As a Senior Salesforce Developer/Engineer at Mercer Advisors, you will play a pivotal role in optimizing and expanding our Salesforce ecosystem. This role demands advanced technical expertise to design, develop, and implement customized Salesforce solutions that drive operational efficiency and business growth. You will work closely with cross-functional teams to translate business needs into actionable technical requirements, ensuring seamless integration and enhancement of our Salesforce environment. You will also leverage AI and machine learning capabilities within the Salesforce platform—including Salesforce Einstein and Agentforce—to deliver intelligent, data-driven solutions that enhance client engagement and advisor productivity.
Essential Job Functions
- Advanced Development: Design and build sophisticated Visualforce pages, custom controllers, and Lightning components using Apex and other Salesforce technologies.
- AI & Intelligent Automation: Design and implement AI-powered solutions using Salesforce Einstein (Einstein Prediction Builder, Einstein Discovery, Einstein Bots) and Agentforce to automate workflows, surface actionable insights, and enhance the advisor and client experience.
- Integration Management: Lead the development of complex integrations across the Salesforce platform, ensuring seamless data flow between Salesforce and other enterprise systems, including AI/ML services and third-party intelligent automation platforms.
- Customization: Create and maintain custom objects, code, and test methods to support various business processes and project requirements.
- Process Improvement: Establish and refine best practices for Salesforce technology deployments—including the responsible adoption of AI tools and generative AI features—ensuring effective project management and execution.
- Data Strategy & AI Readiness: Collaborate with data teams to ensure data quality, completeness, and governance standards.
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