Strategic AI Transformation Architect - Pre-Sales

Dialpad, Inc.

Tempe (AZ)

Hybrid

USD 140,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Comprehensive benefits
Growth opportunities
Cutting-edge AI tools training

Job summary

Dialpad is seeking an AI Transformation Architect to accelerate adoption of our Agentic AI platform within strategic customer accounts. You will translate complex business problems into validated AI designs, and serve as the technical authority during presales, collaborating with Sales, Engineering, and Product to drive outcomes.

The role blends deep AI stack expertise with business acumen to articulate value, scope integrations, and prototype data connectors across cloud and on-prem

Qualifications

  • 4+ years in a high-impact, customer-facing technical role such as AI Architect or technical consulting for SaaS/AI products.
  • Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks.
  • Unrivaled business acumen: communicate trade-offs and plans to technical teams and a C-suite.

Responsibilities

  • Translate complex business objectives into validated Agentic AI solutions for strategic accounts.
  • Partner with Sales, Sales Engineers, Professional Services, and Customer Success for pre-sales evaluations and technical validation.
  • Influence product roadmap by delivering field-sourced signals to Product and Engineering teams.
  • Guide customers through integration feasibility across cloud/on-prem/data pipelines and custom APIs.
  • Demonstrate multi-agent system concepts, prompts, retrieval pipelines, and decision logic in workshops.

Skills

AI Architect
Technical Consulting
Customer facing
Python
Go
JavaScript
LLMs
Vector databases
Agent orchestration

Tools

LLM frameworks

Job description

Dialpad is seeking an AI Transformation Architect to accelerate adoption of our Agentic AI platform within strategic customer accounts. You will translate complex business problems into validated AI designs, and serve as the technical authority during presales, collaborating with Sales, Engineering, and Product to drive outcomes.

The role blends deep AI stack expertise with business acumen to articulate value, scope integrations, and prototype data connectors across cloud and on-prem

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