Forward Deployed Engineer

Responsibilities

• Convert prioritized use cases and pre-sales assumptions into a clear delivery scope, technical plan, and phased implementation approach.
• Work directly with customer technical and operational teams to map real workflows, exception paths, approvals, escalation rules, and human-in-the-loop controls.
• Design and build customer-specific AI agent solutions, including orchestration logic, prompt architecture, retrieval flows, workflow rules, and decision logic.
• Implement integrations with customer data sources, APIs, SaaS platforms, CRMs, ERPs, and enterprise knowledge systems so agents can perform real work end to end.
• Develop evaluation methods, guardrails, and acceptance criteria that measure agent usefulness, reliability, safety, task success, and production readiness.
• Run iterative testing, failure analysis, and performance tuning to improve quality, groundedness, latency, cost, and operational effectiveness.
• Prepare solutions for production by addressing access controls, observability, rollout sequencing, exception handling, fallback behavior, and support readiness.
• Lead deployment activities through initial go-live and first-shift stabilization, including rapid issue resolution, workflow adjustments, and customer-facing hypercare.
• Document reusable implementation patterns, operational runbooks, known failure modes, and recommended next improvements to support scale and repeatability.
• Feed field learnings back into Product, Engineering, and transformation teams so future deployments become faster, safer, and more repeatable.

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