Senior Salesforce AI Developer

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking a Senior Salesforce AI Developer to build a secure, scalable, and intelligent Salesforce platform. The role combines technical leadership with hands-on development, including designing autonomous agents, reusable AI skills, multi-agent orchestration frameworks, custom MCP servers, and AI-client integrations. The developer will work with AI Architects and functional teams to build solutions using Salesforce.com, Agentforce Studio, SIForce, Data 360, Headless 360, Slack Integration, and related technologies. The position also involves establishing security architecture, trust layers, and observability practices so agent interactions are safe, auditable, and grounded in business data. The role supports sales and operations teams by developing Agentforce agents that use live CRM information, including account plans, opportunity pipeline health, and quoting data. It also includes integrating Salesforce with external systems, translating business needs into technical specifications, and providing platform and user support, including onboarding and addressing AI-client user issues.

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 in the Salesforce ecosystem.
Practical knowledge of multi-agent orchestration, including agent chaining, context windowing, delegation, and conflict resolution across Agent Fabric.
Hands-on experience with MCP or equivalent experience and API integrations, including tailored MCP server environments, REST APIs, and OAuth/PKCE.
Experience using Python or JavaScript to script services or MCP servers.
Strong working knowledge of Headless 360 and Data 360, including exposing Salesforce actions, data, and agents as headless services for non-Salesforce AI clients.
Demonstrable understanding of Salesforce objects, data models, and security architecture.

Nice To Haves

Salesforce certifications; Agentforce Specialist and Data 360 Consultant certifications are highly valued.
Experience building autonomous AI quoting agents that use Salesforce data to automate product configuration, pricing, and quote generation.
Familiarity with external MCP client frameworks such as Claude Desktop, Cursor, or custom MCP clients, and integration with Salesforce Hosted MCP endpoints.
Background in prompt engineering, RAG patterns, or LLM-based application development.

Responsibilities

Design, build, and deploy Agentforce agents that use live CRM data to assist sales and operations teams.
Architect multi-agent orchestration patterns using Agent Fabric, including agent 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, and security testing.
Apply security protocols and tools such as Agentforce Testing Center, guardrails and prompt-injection testing, Einstein Trust Layer, Salesforce Code Analyzer (PMD), and CRUD/FLS.
Design and maintain integrations between Salesforce and external systems using APIs, Platform Events/CDC, custom connectors, and web services.
Convert business requirements and 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 with AI Architects and functional teams, including Sales, Partner Programs, Enterprise Support, and IT.