AI Deployment Engineer for Customer-Ready Agents

Dialpad; United States; On-site; USD 112,000 - 172,000; Full time

Benefits offered by this job

Comprehensive benefits

Training program

Great Place to Work

Job summary

Dialpad is seeking a Forward Deployed Engineer to turn qualified AI opportunities into live, production‑ready agent deployments. You will design, build, evaluate, deploy, and stabilize AI agents in real operating environments, collaborating with customer stakeholders, internal teams, and product partners to turn ambiguity into working systems.

This highly customer‑facing role requires translating business objectives into shippable technical solutions, mapping workflows, and driving first

Qualifications

• Experience in a high‑impact, customer‑facing technical role such as Forward Deployed Engineer or Solutions Architect.
• Hands‑on experience building and deploying AI, LLM, or agentic systems in production.
• Strong knowledge of AI patterns, prompt engineering, retrieval systems, and integration frameworks.
• Proficiency in Python, JavaScript/TypeScript, or Go for integrations and deployment.

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 hyper‑care.
• 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.

Skills

Customer-facing role

AI deployment

AI/LLM patterns

APIs & integrations

Prompt engineering

Workflow orchestration

Communication with stakeholders

Ownership & initiative

Tools

Python

JavaScript/TypeScript

Go

Job description

Dialpad is seeking a Forward Deployed Engineer to turn qualified AI opportunities into live, production‑ready agent deployments. You will design, build, evaluate, deploy, and stabilize AI agents in real operating environments, collaborating with customer stakeholders, internal teams, and product partners to turn ambiguity into working systems.

This highly customer‑facing role requires translating business objectives into shippable technical solutions, mapping workflows, and driving first