# Forward Deployed Engineer

**Company:** [Dialpad](https://hotfix.jobs/companies/dialpad)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $112k – $172k/yr
**Skills:** Artificial Intelligence, LLMs, Prompt Engineering, Retrieval Systems, Vector Databases, Agent Orchestration, Python, JavaScript, TypeScript, Go, APIs, Enterprise Integrations, Workflow Automation, Evaluation Methods, Observability
**Posted:** 2026-08-20

> Build and deploy customer-specific AI agents from scoping through production launch and first-shift stabilization. The role combines customer workflow design, applied AI engineering, enterprise integrations, evaluation, and production hardening.

## Job Description

## Responsibilities
- Convert prioritized AI use cases into delivery scopes, technical plans, and phased implementation approaches.
- Map customer 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.
- Integrate customer data sources, APIs, SaaS platforms, CRMs, ERPs, and enterprise knowledge systems.
- Develop evaluations, guardrails, and acceptance criteria for usefulness, reliability, safety, task success, and production readiness.
- Test, analyze failures, and tune quality, groundedness, latency, cost, and operational effectiveness.
- Prepare solutions for production, including access controls, observability, rollout sequencing, exception handling, fallback behavior, and support readiness.
- Lead go-live and first-shift stabilization, including issue resolution, workflow adjustments, and customer-facing hypercare.
- Document implementation patterns, runbooks, failure modes, and improvement recommendations.
- Feed field learnings back to Product, Engineering, and transformation teams.

## Requirements
- Experience in a 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.
- Knowledge of LLMs, prompt engineering, retrieval systems, vector databases, evaluation methods, and agent orchestration frameworks.
- Proficiency in Python, JavaScript/TypeScript, Go, or similar languages.
- Experience with APIs, enterprise integrations, and workflow automation.
- Ability to translate ambiguous business objectives and SOPs into shippable technical solutions.
- Strong customer communication skills and ability to explain trade-offs, risks, timelines, and technical concepts.
- High ownership, sound judgment under ambiguity, and a bias toward measurable outcomes.

## Compensation
- ATS salary range: $112,400–$171,600 USD annually.
- California target base salary range: $124,800–$171,600 USD.
- Colorado target base salary range: $112,400–$154,400 USD.
- US compensation reflects base salary only and excludes bonus, equity, and benefits.
- Competitive benefits, training, growth opportunities, and AI tools.

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