AI Deployment Engineer — Production-Ready Agent Solutions

Dialpad; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Growth opportunities

Job summary

Dialpad is seeking a Forward Deployed Engineer to translate qualified AI opportunities into production deployments. You will design, build, and deploy AI agents, work with customer stakeholders, and ensure robust integration with enterprise data sources and systems.

You will lead go-live activities, iterate quickly, and establish reusable patterns for scale, governance, and support readiness across customer environments.

Qualifications

• Experience in a high-impact, customer-facing technical role such as Forward Deployed Engineering, Solutions Architecture, Technical Consulting, Deployment Engineering, or AI-focused SaaS implementation.
• Hands-on experience building and deploying AI, LLM, or agentic systems in production environments.
• Strong working knowledge of modern AI and application patterns, including LLMs, prompt engineering, retrieval systems, vector databases, evaluation methods, and agent orchestration frameworks.

Responsibilities

• Convert prioritized use cases and pre-sales assumptions into a clear delivery scope, technical plan, and phased implementation approach.
• Design and build customer-specific AI agent solutions and integration with enterprise systems.
• Lead deployment activities through initial go-live and first-shift stabilization and rapid issue resolution.

Skills

Customer-facing role

AI system deployment

LLMs & prompts

APIs & enterprise integrations

Workflow automation

Systems thinking

Technical communication

Ambiguity to solutions

Tools

APIs

Enterprise integrations

Prompt orchestration frameworks

Vector databases

Job description

Dialpad is seeking a Forward Deployed Engineer to translate qualified AI opportunities into production deployments. You will design, build, and deploy AI agents, work with customer stakeholders, and ensure robust integration with enterprise data sources and systems.

You will lead go-live activities, iterate quickly, and establish reusable patterns for scale, governance, and support readiness across customer environments.