Senior Salesforce AI Developer

Responsibilities

• Design, build, and deploy Agentforce Agents that leverage live CRM data - account planning, opportunity pipeline health, and quoting information - to assist our sales and operations teams in real time.
• Architect multi-agent orchestration patterns using Agent Fabric, deploy specialized agents across business domains while leading handoffs, context passing, and fallback logic.
• Design and develop custom MCP Servers, including OAuth 2.0 setup using Data 360 and Headless 360 to expose actions and agents to external AI clients.
• Implement MCP observability practices including trace logging, scoped access controls, security testing and protocols such as Agentforce Testing Center, guardrails/prompt-injection testing, Einstein Trust Layer, Salesforce Code Analyzer (PMD) and CRUD/FLS.
• Design and maintain integrations between Salesforce and external systems - APIs, Platform Events/CDC, custom connectors, web services.
• Identify business requirements and convert business/functional specifications into detailed technical specifications for agent-driven solutions.
• Provide platform and user support including onboarding and addressing issues related to AI client users.
• Partner closely with AI Architects and functional teams (Sales
• Partner Programs, Enterprise
• Support, IT).

Languages