Design and develop secure, scalable Salesforce AI solutions, including Agentforce agents, multi-agent orchestration frameworks, custom MCP servers, and AI-client integrations. Build integrations using APIs and platform events, implement observability and security controls, translate business requirements into technical specifications, and support AI platform users. The role requires extensive Salesforce ecosystem experience, expertise with Data 360 and Headless 360, and hands-on Python or JavaScript development for AI and MCP services.
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 other objective job-related factors. The expected base salary range for this position 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.NVIDIA Santa Clara, California, USA Office
2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara
NVIDIA San Francisco, California, USA Office
San Francisco, United States
NVIDIA San Jose, California, USA Office
San Jose, United States
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