Drimva

NVIDIA

Senior Salesforce AI Developer

$176K–$276K

US, CA, Santa Clara · Senior · Full-time · Posted Oct 26, 2026

Experience
12+ years of experience architecting and developing full-stack solutions on Salesforce’s ecosystem.
Education
Bachelor’s degree in computer science or relevant field, verifiable by transcripts, or equivalent experience.

About the job

Build and support secure Salesforce AI solutions, including autonomous agents, multi-agent orchestration, MCP servers, and integrations with external systems.

What you'll do

  • Design and deploy Agentforce agents using live CRM data, and architect multi-agent handoffs, context passing, and fallback logic.
  • Develop custom MCP servers and integrations; implement observability, security controls, and testing for agent interactions.
  • Translate business requirements into technical specifications and provide platform and user support in collaboration with AI Architects and functional teams.

What they ask 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; Python or JavaScript for scripting services or MCP servers.

Nice to have

  • Salesforce.com certifications (Agentforce Specialist, Data 360 Consultant highly valued).
  • Experience with autonomous AI quoting agents, external MCP client frameworks, prompt engineering, RAG patterns, or LLM-based application development.

Pay

176,000 USD - 276,000 USD (base salary)

Tools

Salesforce.com, Agentforce Studio, Agent Fabric, Data 360, Headless 360, OAuth 2.0, Python, JavaScript

AI focus

Develop autonomous agents and multi-agent orchestration for CRM and business workflows; build MCP servers and AI-client integrations, with security, trust, and observability controls.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)