Senior Salesforce AI Developer

at Nvidia

USD 176,000-276,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 API @ 4 CRM JavaScript @ 4 LLM @ 6 OAuth @ 4 Observability Prompt Engineering @ 6 Python @ 4 RAG @ 6 Salesforce @ 8 Security @ 4 Slack Technical Leadership

Details

We’re looking for a Senior Salesforce AI Developer to help build a secure, scalable, and intelligent Salesforce platform. The role involves designing and developing autonomous agents, reusable AI skills, and multi-agent orchestration frameworks while enforcing security architecture, trust layers, and observability practices that keep agent interactions safe, auditable, and grounded in business data.

The role combines technical leadership with hands-on development, including custom MCP servers, AI-client integration initiatives, and collaboration with AI Architects. The position works with Salesforce.com, Agentforce Studio, SIForce, Data 360, Headless 360, Slack Integration, and related technologies.

Responsibilities

Design, build, and deploy Agentforce Agents that leverage live CRM data, including account planning, opportunity pipeline health, and quoting information, to assist sales and operations teams in real time.
Architect multi-agent orchestration patterns using Agent Fabric, deploying specialized agents across business domains and 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, Agentforce Testing Center, guardrails and prompt-injection testing, the Einstein Trust Layer, Salesforce Code Analyzer (PMD), and CRUD/FLS controls.
Design and maintain integrations between Salesforce and external systems using APIs, Platform Events/CDC, custom connectors, and web services.
Identify business requirements and convert business 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 closely with AI Architects and functional teams across Sales, Partner Programs, Enterprise Support, and IT.

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, including agent chaining, context windowing, delegation, and conflict resolution across Agent Fabric.
Hands-on experience with MCP or equivalent experience with API integrations, tailored MCP server environments, REST APIs, and OAuth/PKCE.
Experience using Python or JavaScript for scripting services or MCP servers.
Strong working knowledge of Headless 360 and Data 360, including exposing Salesforce actions, data, and agents as headless services consumable by non-Salesforce AI clients.
Demonstrable understanding of Salesforce objects, data models, and security architecture.
Salesforce certifications; Agentforce Specialist and Data 360 Consultant certifications are highly valued.

Preferred Qualifications

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 such as Claude Desktop, Cursor, or custom MCP clients, and integration with Salesforce Hosted MCP endpoints.
Background in prompt engineering, retrieval-augmented generation (RAG) patterns, or LLM-based application development.

Compensation and Benefits

Base salary range: USD 176,000–276,000 per year.
Eligibility for equity and benefits.

Applications will be accepted at least until October 30, 2026. NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and providing equal employment opportunities.