Description
We're looking for a Senior Salesforce AI Developer to join our team and help build a secure, scalable, and intelligent Salesforce platform.
You will design and develop autonomous agents, reusable AI skills, and multi-agent orchestration frameworks, while enforcing the security architecture, trust layers, and observability practices that keep every agent interaction safe, auditable, and grounded in real business data.
Responsibilities:
- Design, build, and deploy Agentforce Agents that leverage live CRM data to assist our sales and operations teams in real time.
- Architect multi-agent orchestration patterns using Agent Fabric, deploy specialized agents across business domains, and lead 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, such as APIs, Platform Events/CDC, custom connectors, and web services.
- Identify business requirements and convert them into detailed technical specifications for agent-driven solutions.
- Provide platform and user support, including onboarding and addressing issues related to AI client users.
Requirements:
- Bachelor's degree in computer science or a relevant field, verifiable by transcripts, or equivalent experience.
- 12+ years of experience architecting and developing full-stack solutions on Salesforce's ecosystem.
- Practical knowledge of multi-agent orchestration, agent chaining, context windowing, delegation, and conflict resolution across Agent Fabric.
- Hands-on experience with general MCP or equivalent experience and API integrations, Python or JavaScript for scripting services or MCP servers.
- Strong working knowledge of Headless 360 and Data 360, exposing Salesforce actions, data, and agents as headless services consumable by non-Salesforce AI clients.
- Demonstrable understanding of Salesforce Objects, Data Model, and security architecture.
- Salesforce.com certifications (Agentforce Specialist, Data 360 Consultant highly valued).
Nice to Have:
- Experience building autonomous AI quoting agents that interact with Salesforce data to automate product configuration, pricing, and quote generation.
- Familiarity with external MCP client frameworks and integration with Salesforce Hosted MCP endpoints.
- Background in prompt engineering, RAG patterns, or LLM-based application development.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 176,000 USD - 276,000 USD. You will also be eligible for equity and benefits.