# Forward Deployed Engineer

**Company**: Dialpad
**Location**: Anywhere, US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $124,800-$171,600 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/dialpad/jobs/8734067002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f9beb3e4-9fc

## Description

Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organisations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

The Forward Deployed Engineer (FDE) is a customer-embedded delivery engineer responsible for turning qualified AI opportunities into live, production-ready agent deployments. This role sits at the intersection of customer workflow design, applied AI engineering, enterprise integration, and production rollout.

You will work directly with customer stakeholders, internal delivery teams, and product partners to design, build, evaluate, deploy, and stabilise AI agents in real operating environments.

Responsibilities:

- Convert prioritised 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 behaviour, and support readiness.

- Lead deployment activities through initial go-live and first-shift stabilisation, 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.

Requirements:

- 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.

- Proficiency in Python, JavaScript/TypeScript, Go, or similar languages used for integrations, middleware, and production deployment work.

- Experience working with APIs, enterprise integrations, and workflow automation across customer environments.

- Ability to translate ambiguous business objectives and SOPs into clear, shippable technical solutions.

- Keen attention to detail allowing you to quickly analyse results, showcase value-add to a customer, and iterate quickly.

- Strong customer communication skills, including the ability to explain trade-offs, risks, timelines, and technical concepts to both technical and non-technical stakeholders.

- High ownership, strong judgement under ambiguity, and a bias toward action and measurable outcomes.

Benefits:

- Competitive salary, comprehensive benefits, and real opportunities for growth.

- Work at the centre of the AI transformation in business communications.

- Build and ship agentic AI products that are redefining how companies operate.

- Join a team where AI amplifies every employee's impact.

## Skills

### Required
- AI
- LLM
- agentic systems
- Python
- JavaScript/TypeScript
- Go
- APIs
- enterprise integrations
- workflow automation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/dialpad/jobs/8734067002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)