Senior Salesforce AI Developer

Nvidia

Confirmed live 3 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live 3 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $181k
$120k $239k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,650–$213,050.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1664 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 653 roles with salary data.

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At a glance

TL;DR · Senior Salesforce AI Developer

The Senior Salesforce AI Developer joins the team to build a secure, scalable, and intelligent Salesforce platform. This role involves designing and developing autonomous agents, reusable AI skills, and multi-agent orchestration frameworks while enforcing security architecture, trust layers, and observability practices. You will build Agentforce Agents leveraging live CRM data for sales and operations, architect multi-agent orchestration patterns using Agent Fabric, and develop custom MCP Servers using OAuth 2.0, Data 360, and Headless 360. Key technologies include Salesforce.com, Agentforce Studio, SIForce, Slack Integration, Python, and JavaScript. You will implement trace logging, guardrails, and prompt-injection testing using the Einstein Trust Layer and Salesforce Code Analyzer. The work focuses on converting functional specifications into technical solutions for agent-driven business processes and external AI client integrations.

What you'll do

  • Design, build, and deploy Agentforce Agents that leverage live CRM data for sales and operations teams.
  • Architect multi-agent orchestration patterns using Agent Fabric, including handoffs, context passing, and fallback logic.
  • Develop custom MCP Servers using Data 360 and Headless 360 to expose actions to external AI clients.
  • Implement observability practices including trace logging, security testing, and Einstein Trust Layer guardrails.
  • Design and maintain integrations between Salesforce and external systems using APIs, Platform Events, and custom connectors.
  • Convert business and functional requirements into detailed technical specifications for agent-driven solutions.
  • Provide platform support and onboarding for AI client users to address technical issues.

What we're looking for

  • Bachelor’s degree in computer science or 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 including agent chaining, context windowing, delegation, and conflict resolution across Agent Fabric.
  • Hands-on experience with general MCP or equivalent experience and API integrations including REST APIs and OAuth/PKCE.
  • Proficiency in Python or JavaScript for scripting services or MCP servers.
  • Strong working knowledge of Headless 360 and Data 360 for exposing Salesforce actions and data as headless services.
  • Demonstrable understanding of Salesforce Objects, Data Model, and security architecture.
  • Salesforce.com certifications such as Agentforce Specialist or Data 360 Consultant (highly valued).

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