24 hours ago
Base Salary
$176k - $276k/yr
Responsibilities
- Design, build, and deploy Agentforce agents using live Salesforce CRM data for account planning, opportunity health, and quoting workflows.
- Architect multi-agent orchestration across business domains, including agent handoffs, context passing, delegation, and fallback logic.
- Design and develop custom MCP servers with OAuth 2.0, Data 360, and Headless 360 integrations for external AI clients.
- Implement MCP observability, trace logging, scoped access controls, security testing, guardrails, prompt-injection testing, and Salesforce trust controls.
- Build and maintain Salesforce integrations with external systems using APIs, Platform Events, CDC, custom connectors, and web services.
- Translate business and functional requirements into technical specifications for agent-driven solutions.
- Provide platform and user support, including onboarding and issue resolution for AI-client users, while partnering with architects and functional teams.
Requirements
- 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 in 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 systems, API integrations, tailored MCP server environments, REST APIs, OAuth/PKCE, and Python or JavaScript.
- Strong working knowledge of Headless 360, Data 360, Salesforce Objects, Salesforce Data Model, and Salesforce security architecture.
- Salesforce certifications such as Agentforce Specialist or Data 360 Consultant are highly valued.
- Experience building autonomous AI quoting agents is advantageous.
- Familiarity with Claude Desktop, Cursor, custom MCP clients, Salesforce Hosted MCP endpoints, prompt engineering, RAG patterns, or LLM-based application development is advantageous.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until October 30, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.