Forward Deployed Engineer

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

About Dialpad

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 organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage.

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved.

Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T‑Mobile.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

Your role

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. The core mission is to close the last‑mile gap between platform capability and measurable customer outcomes by taking shaped opportunities from scoping through implementation and into the first production shift.

You will work directly with customer stakeholders, internal delivery teams, and product partners to design, build, evaluate, deploy, and stabilize AI agents in real operating environments. This is a highly customer‑facing, hands‑on role for someone who can translate ambiguity into working systems and can move fluidly between technical depth and business impact.

What You’ll Do

• 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.
• Detailed solution scoping after deal alignment.
• Customer‑specific implementation and agent behavior design.
• Technical integration across enterprise systems and data sources.
• Evaluation, iterative quality improvement, and production hardening.
• Go‑live readiness and first‑shift production stabilization.
• Executive value framing before opportunity qualification.
• Broad transformation‑roadmap design across multiple business units.
• Portfolio‑level governance program management.
• Long‑term managed‑service ownership after the initial deployment phase, unless the service model explicitly extends the role.

Skills You'll Bring

• 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 analyze 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 judgment under ambiguity, and a bias toward action and measurable outcomes.

California Salary Range

$124,800—$171,600 USD

Colorado Salary Range

$112,400—$154,400 USD

Why Join Dialpad

• Work at the center 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
• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting‑edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Dialpad is an equal‑opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.