Senior Salesforce AI Developer

Thomas To; Santa Clara (CA); On-site; USD 176,000 - 276,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Salesforce AI Developer to design and build autonomous agents, scalable AI skills, and orchestration frameworks within the Salesforce ecosystem.

You will lead technical design and hands-on development of MCP servers, agent integration, and security architecture while collaborating with AI Architects across Data 360, Headless 360, and related Salesforce technologies.

Qualifications

• Bachelor’s degree in computer science or a related field or equivalent experience.
• 12+ years of experience architecting and developing full-stack solutions on Salesforce’s ecosystem.
• Hands-on experience with MCP and API integrations (REST, OAuth/PKCE).
• Proficiency in Python or JavaScript for scripting services or MCP servers.
• Strong knowledge of Salesforce objects, data model, and security architecture.
• Salesforce certifications (Agentforce Specialist, Data 360 Consultant) highly valued.

Responsibilities

• Design, build, and deploy Agentforce Agents leveraging live CRM data to support sales and operations in real time.
• Architect multi-agent orchestration patterns across business domains with Agent Fabric and manage handoffs, context passing, and fallback logic.
• Develop custom MCP Servers with OAuth 2.0 setup to expose actions and agents to external AI clients.
• Implement MCP observability with trace logging, access controls, security testing, and trust layers.
• Create integrations between Salesforce and external systems via APIs, Platform Events/CDC, and custom connectors.
• Translate business requirements into detailed technical specifications for agent-driven solutions.
• Provide platform and user support, onboarding, and issue resolution for AI client users; collaborate with AI Architects and business teams.

Skills

Full-stack development

Multi-agent orchestration

Security architecture

Requirements gathering

Team leadership

Education

Bachelor’s degree in computer science or relevant field

Salesforce certifications (Agentforce Specialist, Data 360 Consultant)

Tools

MCP servers

OAuth 2.0 / PKCE

REST APIs

Python

JavaScript

Headless 360 / Data 360 familiarity

Salesforce platform integrations

Job 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’ll 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.

Do you get excited about orchestrating multiple agents across business domains? If so, we’d love to hear from you! This role combines technical leadership with hands-on development — designing custom MCP servers, driving AI-client integration initiatives, and collaborating closely with AI Architects to build on Salesforce.com, Agentforce Studio, SIForce, Data 360, Headless 360, Slack Integration, and related technologies.

What You’ll Be Doing

• Design, build, and deploy Agentforce Agents that leverage live CRM data - account planning, opportunity pipeline health, and quoting information - to assist our sales and operations teams in real time.
• Architect multi-agent orchestration patterns using Agent Fabric, deploy specialized agents across business domains while 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 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 - APIs, Platform Events/CDC, custom connectors, web services.
• Identify business requirements and convert business/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 (Sales, Partner Programs, Enterprise Support, IT).

What We Need To See

• 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 - agent chaining, context windowing, delegation, and conflict resolution across Agent Fabric.
• Hands-on experience with general MCP or equivalent experience and API integrations (tailored MCP server environments, REST APIs, OAuth/PKCE), 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)

Ways To Stand Out From The Crowd

• 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 (e.g., 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.

Applications for this job will be accepted at least until October 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.