Agentforce Developer

Summary

Mariner is seeking an innovative Agentforce and AI Developer to advance AI-powered automation within its Salesforce Financial Services Cloud ecosystem. The role designs and deploys Agentforce agents, autonomous workflows, and AI-enhanced advisor tools, while integrating external systems, ensuring security and compliance, and optimizing agent performance.

Responsibilities

• Design, configure, and deploy Agentforce agents in Salesforce FSC to automate advisor workflows, client service activities, and operational processes
• Develop and optimize agent topics, actions, and instructions using advanced prompt engineering for financial services scenarios
• Integrate Agentforce with MuleSoft APIs, external data feeds, and financial planning platforms to extend agent functionality
• Partner with FSC Solution Architects to ensure agent solutions are aligned with CRM data models, security frameworks, and best practices
• Implement Salesforce Einstein features (Einstein Copilot, Predictive AI, Next Best Action) to deliver actionable insights and recommendations for advisors
• Conduct comprehensive testing of agent behavior, including handling edge cases, mitigating hallucination risk, and upholding compliance requirements
• Monitor agent performance, analyze usage data, and refine agent workflows based on advisor feedback and evolving Salesforce AI capabilities
• Stay abreast of the Salesforce AI roadmap, proactively evaluating and implementing new Agentforce features to enhance our platform

Skills

• 2+ years of Salesforce development experience (Apex, Lightning Web Components, Flow)
• Direct, hands-on experience with Agentforce, Einstein Copilot, or similar conversational AI technologies within Salesforce
• Strong knowledge of prompt engineering and large language model (LLM) behavior in enterprise environments
• Demonstrated ability to design within Salesforce's security model (profiles, permission sets, sharing rules)
• Proven skill in translating complex advisor workflows into structured agent-driven action sequences
• Salesforce AI Associate or Agentforce Specialist certification
• Familiarity with the Salesforce FSC data model and advisor/client relationship management
• Experience with MuleSoft integration patterns to enhance agent capabilities with external data
• Background in financial services, wealth management, or fintech
• Exposure to responsible AI frameworks and compliance protocols relevant to regulated industries

Qualifications

Must Haves

• 2+ years of Salesforce development experience (Apex, Lightning Web Components, Flow)
• Direct, hands-on experience with Agentforce, Einstein Copilot, or similar conversational AI technologies within Salesforce
• Strong knowledge of prompt engineering and large language model (LLM) behavior in enterprise environments
• Demonstrated ability to design within Salesforce's security model (profiles, permission sets, sharing rules)
• Proven skill in translating complex advisor workflows into structured agent-driven action sequences

Nice to Haves

• Salesforce AI Associate or Agentforce Specialist certification
• Familiarity with the Salesforce FSC data model and advisor/client relationship management
• Experience with MuleSoft integration patterns to enhance agent capabilities with external data
• Background in financial services, wealth management, or fintech
• Exposure to responsible AI frameworks and compliance protocols relevant to regulated industries

Benefits

• Offers Bonus
• Remote work arrangement
• Progressive opportunities and professional growth support
• A diverse culture where associates have the support they need to achieve their career goals
• A workplace culture that fosters camaraderie, teamwork, and work-life balance