5 hours ago
Responsibilities
- Convert prioritized use cases and pre-sales assumptions 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 agents using 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.
- Run iterative testing, failure analysis, and performance tuning for quality, groundedness, latency, cost, and operational effectiveness.
- Prepare deployments through 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 reusable implementation patterns, runbooks, failure modes, and improvements, and share field learnings with Product and Engineering.
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 environments.
- Working knowledge of 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.
- Experience with APIs, enterprise integrations, and workflow automation across customer environments.
- Ability to translate ambiguous business objectives and standard operating procedures into shippable technical solutions.
- Strong customer communication skills and the ability to explain trade-offs, risks, timelines, and technical concepts to technical and non-technical stakeholders.
- High ownership, sound judgment under ambiguity, attention to detail, and a bias toward measurable outcomes.
Benefits
- Competitive salary and comprehensive benefits
- Opportunities for growth, training, and access to cutting-edge AI tools
- Inclusive office environment designed to support collaboration and connection
Tech Stack
Categories
AI ApplicationsForward Deployed
About Dialpad
Dialpad is the leading AI-powered communications intelligence platform creating human-first, AI-enhanced solutions that will drive the next wave of how businesses communicate with and serve their customers. Enterprise customers such as Randstad, RE/MAX, Nasdaq, Express Scripts, T-Mobile, Johns Hopkins, Motorola Solutions, Tractor Supply, and Netflix use Dialpad and its AI capabilities to deliver amazing customer experiences. Supported by notable investors such as Andreessen Horowitz, GV, ICONIQ Capital, and OMERS, Dialpad is a dynamic force in AI technology with a rapidly expanding presence. Visit dialpad.com to learn more.