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