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# Principal AI Solutions Engineer - Salesforce AI Labs

- **Company:** Salesforce.com, Inc.
- **Location:** New York, NY, United States
- **Salary:** $215,250.0 - $287,910.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Data Security, Software Debugging, Python (Programming Language), Open Source Technology, OpenAI, Salesforce.Com, TypeScript, Software Coding, Webhooks
- **Published:** October 27, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88696890/1

## About the Role

* A track record of personally building customer-facing software, integrations, or technical prototypes that solve real business problems.
 * Strong coding skills in Python, TypeScript/JavaScript, or comparable languages, with the ability to build and debug across services and a usable demonstration interface.
 * Fluency in modern API architectures, including authentication, webhooks, event-driven integration, data contracts, and reliable execution across systems.
 * Practical experience building with models and tools from providers such as OpenAI and Anthropic, alongside relevant open-source agent frameworks and harnesses.
 * Understanding of tool calling, retrieval, orchestration, context management, evaluations, observability, and human approval within agent workflows.
 * Sound judgment about model limitations, reliability, latency, cost, data access, and the requirements for moving from prototype to customer deployment.
 * Strong storytelling and presentation skills, including the ability to deliver a live demonstration and explain its business significance.
 * The initiative to work through ambiguity, learn unfamiliar products quickly, and ship useful iterations with a small team.
 * The ability to turn a broad ambition into a testable use case with a credible path to customer value.

Experience that would be especially useful

 * Forward-deployed engineering, applied AI engineering, solutions engineering, or customer-facing solution architecture.
 * Building demonstrations or proofs of value involving multiple enterprise products.
 * Process intelligence, workflow automation, customer research, customer service, or digital experience platforms.
 * Creating reusable technical assets that support several customers or go-to-market teams.
 * Startup or founding-engineer experience with direct customer engagement.