Client-Facing AI Deployment Engineer (NYC)

Forgepoint Inc.; New York (NY); On-site; USD 175,000 - 215,000; Full time

Job summary

Forgepoint Inc. seeks a hands-on, client-facing technical professional in NYC at the intersection of customers, product, and applied AI. You will work directly with American manufacturers to understand their workflows and deploy a reliable Frank that delivers measurable value.

You will own customer agent deployments end-to-end: map workflows, write SOPs and prompts, build evals, configure tools and guardrails, launch with users, and continuously improve performance over time.

Qualifications

• 4+ years of experience in software engineering or a client-facing technical role such as forward deployed engineering, solutions engineering, or implementation consulting

Responsibilities

• Lead agent deployments from discovery and requirements scoping through configuration, go-live, quantified ROI, and ongoing improvement
• Map complex customer workflows and turn them into focused requirements, SOPs, prompts, tools, guardrails, approvals, and handoffs
• Build evals and test cases that measure agent quality, expose failure modes, and guide iteration
• Configure and launch agents, monitor their real-world performance, investigate failures, and improve reliability over time
• Run customer workshops, communicate tradeoffs clearly, and close every dependency and follow-up needed to keep deployments moving
• Learn complex customer domains quickly and advocate for customer needs with product and engineering
• Turn repeated deployment problems into reusable patterns, tooling, and product improvements that make future launches faster

Job description

Forgepoint Inc. seeks a hands-on, client-facing technical professional in NYC at the intersection of customers, product, and applied AI. You will work directly with American manufacturers to understand their workflows and deploy a reliable Frank that delivers measurable value.

You will own customer agent deployments end-to-end: map workflows, write SOPs and prompts, build evals, configure tools and guardrails, launch with users, and continuously improve performance over time.