Senior Salesforce AI Developer
NVIDIA, US, CA, Santa Clara
- Pay
- Not listed by the employer
- Work type
- Not stated
- Level
- Senior
- Area
- Software engineering
- Posted
- 9 days ago
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About the role
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.
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Listed on NVIDIA's Workday careers site; checked 33 h ago. First seen by us 35 h ago. Being listed doesn't mean the team is actively interviewing.