Senior Salesforce AI Developer

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 176,000 - 276,000

Full time

2 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Equity
Benefits

Job summary

NVIDIA Corporation is seeking a Senior Salesforce AI Developer to design, build, and deploy autonomous agents that leverage live CRM data across Salesforce. You will architect multi-agent orchestration, MCP servers, and external integrations while upholding strict security, trust, and observability standards.

You’ll collaborate with AI Architects to implement Agentforce, Data 360, Headless 360, and related tools, guiding hands-on development and platform support.

Qualifications

  • Bachelor’s degree in computer science or equivalent, 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 MCP servers and API integrations (REST APIs, OAuth/PKCE); Python or JavaScript for scripting.
  • Strong working knowledge of Headless 360 and Data 360 exposing Salesforce actions/data as headless services.
  • Demonstrable understanding of Salesforce Objects, Data Model, and security architecture.
  • Salesforce certifications (Agentforce Specialist, Data 360 Consultant highly valued).

Responsibilities

  • Design, build, and deploy Agentforce Agents that leverage live CRM data to assist sales and operations in real time.
  • Architect multi-agent orchestration patterns across business domains with Agent Fabric.
  • Design and develop custom MCP Servers and OAuth 2.0 setup to expose actions and agents to external AI clients.
  • Implement MCP observability, trace logging, access controls, security testing, and guardrails.
  • Design and maintain integrations between Salesforce and external systems (APIs, Platform Events/CDC, custom connectors).
  • Translate business requirements into detailed technical specifications for agent-driven solutions.
  • Provide platform and user support including onboarding and issue resolution for AI client users.
  • Collaborate with AI Architects and functional teams across Sales, Enterprise IT.

Skills

Multi-agent orchestration
OAuth 2.0 setup
Python scripting
JavaScript scripting
Salesforce integration

Education

Bachelor's degree or equivalent
Salesforce certifications

Tools

Agentforce Studio
Data 360
Headless 360
SIForce
Salesforce APIs

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?

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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Salesforce AI Developer
Senior Salesforce AI Developer

Thomas To • Santa Clara (CA)

On-site
USD 176,000 - 276,000
Equity
Benefits
Senior Manager, Engineering - Enterprise AI and Automation
Senior Manager, Engineering - Enterprise AI and Automation

NVIDIA Corporation • United States

On-site
USD 272,000 - 431,000
Equity
Benefits
Equal opportunity employer
Senior Staff Software Engineer - AI Agent Platform
Senior Staff Software Engineer - AI Agent Platform

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 200,000 - 391,000
Equity
Benefits
Principal AI Workflow Engineer
Principal AI Workflow Engineer

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 248,000 - 391,000
Principal Software Engineer
Principal Software Engineer

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 248,000 - 391,000
Equity
Benefits
Senior Manager, Engineering - Enterprise AI and Automation
Senior Manager, Engineering - Enterprise AI and Automation

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 272,000 - 431,000
Equity
Comprehensive benefits
Senior Manager, Engineering - Enterprise AI and Automation
Senior Manager, Engineering - Enterprise AI and Automation

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 272,000 - 431,000
Equity
Competitive benefits
Senior Software Engineer, AI Agent Compute
Senior Software Engineer, AI Agent Compute

NVIDIA • North Carolina

On-site
USD 168,000 - 270,000
Equity
Benefits
Senior AI Engineer, AI tools
Senior AI Engineer, AI tools

NVIDIA Corporation • Santa Clara (CA)

On-site
USD 224,000 - 357,000
Equity
Benefits
Principal Software Engineer
Principal Software Engineer

NVIDIA Corporation • United States

On-site
USD 248,000 - 391,000