Principal AI Solutions Engineer - Salesforce AI Labs

Responsibilities: Build connected solutions: create prototypes, API integrations, and agent workflows across products and enterprise systems Identify high-value use cases with customers, portfolio leaders, and GTM teams to maximize value Create compelling demonstrations that link customer needs to system actions and business results Present at multiple levels (executives, customers, developers, sales) with appropriate depth and credibility Experiment rapidly to test new agentic experiences and architectures, clarifying capabilities vs prototypes Package reusable assets (reference architectures, integration components, demo environments, playbooks) for other teams Measure value and speed (baselines, outcomes like time to implement, cycle time, cost to serve, CX) Surface integration gaps and demand to product/engineering with evidence from your builds

Key requirements: Proven track record of building customer-facing software, integrations, or technical prototypes that solve real business problems Strong coding skills in Python, TypeScript/JavaScript, or comparable languages for building and debugging across services Fluency in modern API architectures (authentication, webhooks, event-driven integration, data contracts, reliable execution) Hands-on experience with models/tools from OpenAI and Anthropic; familiarity with open-source agent frameworks and harnesses Understanding of tool calling, retrieval, orchestration, context management, evaluations, observability, and human approval in agent workflows Sound judgment on model limitations, reliability, latency, cost, data access, and deployment readiness Strong storytelling and presentation skills with the ability to deliver live demonstrations and explain business value Initiative to navigate ambiguity, learn new products quickly, and ship iterative improvements with a small team Ability to turn broad ambitions into testable use cases with credible customer value Storytelling and presentation excellence Adaptability and comfort with ambiguity Learning quickly and applying new knowledge Python TypeScript/JavaScript Modern API architectures (auth, webhooks, event-driven, data contracts)