Senior Forward Deployed Engineer (Enterprise AI)

Join Handshake AI Enterprise as a Senior Forward Deployed Engineer. In this role, you will embed directly with enterprise customers, gaining a deep understanding of their business and workflows. You will define AI-driven solutions, build and deploy production-grade agents, and measure their performance. This is not an implementation or consulting role; you will own the full stack and become a domain expert in your customer's vertical. You will work closely with Product and Platform engineers and establish engineering best practices.

- Embedd directly with enterprise customers to understand their business and workflows, and define AI-driven solutions based on real business needs. - Build and deploy production-grade AI agents tailored to specific customer use cases, owning end-to-end delivery. - Design and run evaluations to measure agent performance; iterate and improve until results meet expectations.

- Strong understanding of agent architectures, evals, and how to measure and systematically improve AI performance - Real-world experience building and shipping AI applications in production — not just fine-tuning or prototyping - Comfort working directly with enterprise customers in ambiguous, high-stakes environments - Strong systems thinking — you can zoom out to the business problem and zoom in to the technical solution without losing either thread - 5-6+ years of engineering experience, full-stack with strong backend depth - Strong communication skills — you'll be in the room with senior stakeholders regularly and need to earn their trust quickly - High ownership mentality — you care about outcomes, not just outputs - Background at a company with a forward deployment or field engineering model - Familiarity with enterprise security requirements, VPC deployments, or on-prem configurations - Experience building multi-agent systems in production - Domain expertise in a specific enterprise vertical (recruiting, finance, ops, legal, etc.) - History of building evals infrastructure or AI quality measurement tooling