Principal AI Solutions Engineer - Salesforce AI Labs

What you'll do

• Build prototypes, API integrations, agent workflows, and reusable technical assets across products and enterprise systems.
• Identify customer use cases, create demonstrations, and communicate technical and business value to customers, executives, developers, and sales teams.
• Evaluate solution outcomes and reliability, and share integration gaps and customer evidence with product and engineering leaders.

What they ask for

• Track record of personally building customer-facing software, integrations, or technical prototypes for real business problems.
• Strong coding skills in Python, TypeScript/JavaScript, or comparable languages, including building and debugging across services and a 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, plus understanding of agent workflows and deployment considerations.

Nice to have

• Experience in forward-deployed engineering, applied AI engineering, solutions engineering, or customer-facing solution architecture.
• Experience building demonstrations involving multiple enterprise products or creating reusable technical assets.

Pay

$215,250 - $287,910 annually (base salary); $236,810 - $316,750 per year (base pay, California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC)

Tools

Python, TypeScript/JavaScript, OpenAI, Anthropic

AI focus

Build and test agentic solutions using models, tool calling, retrieval, orchestration, context management, evaluations, observability, and human approval; assess model limitations and readiness for customer deployment.