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.
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.Skills Required
- 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 within the Salesforce ecosystem
- Practical experience with multi-agent orchestration, including agent chaining, context windowing, delegation, and conflict resolution
- Hands-on experience with MCP or equivalent experience with API integrations, tailored MCP server environments, REST APIs, and OAuth/PKCE
- Python or JavaScript experience for scripting services or MCP servers
- Strong working knowledge of Salesforce Headless 360 and Data 360
- Understanding of Salesforce objects, data models, and security architecture
- Salesforce certifications, with Agentforce Specialist and Data 360 Consultant valued
- Experience building autonomous AI quoting agents for product configuration, pricing, and quote generation
- Familiarity with external MCP client frameworks such as Claude Desktop, Cursor, or custom MCP clients
- Background in prompt engineering, RAG patterns, or LLM-based application development
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
