AI Transformation Architect

Dialpad
United States
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Business acumen","Communication","Customer-facing","Ownership","Collaboration"]

Embed with strategic customer accounts to translate complex business challenges into validated Agentic AI solution designs. Serve as deep technical authority during presales through AI workshops and Proofs of Concept, navigating enterprise infrastructure and integration feasibility across cloud, on-prem, data pipelines, and APIs. Synthesize field learnings to influence product roadmap, discover multi-agent architectures and fine-tuned models, and guide customer evaluations using the MCP framework.

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FursaFursa
Dialpad
Dialpad
5 days ago

AI Transformation Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Embed with strategic customer accounts to translate complex business challenges into validated Agentic AI solution designs. Serve as deep technical authority during presales through AI workshops and Proofs of Concept, navigating enterprise infrastructure and integration feasibility across cloud, on-prem, data pipelines, and APIs. Synthesize field learnings to influence product roadmap, discover multi-agent architectures and fine-tuned models, and guide customer evaluations using the MCP framework.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Embed with customer stakeholders and operational leaders to understand complex, high-stakes business problems and translate objectives into Agentic AI solutions.
  • •Partner with Sales, Sales Engineers, Professional Services, and Customer Success to provide deep technical authority during pre-sales evaluations using AI workshops and Proofs of Concept.
  • •Capture customer pain points, successful integration patterns, and platform limitations to synthesize insights and relay them to Product and Engineering for roadmap influence.
  • •Navigate enterprise infrastructure to scope integration feasibility, advising on prototyping and custom data connectors, orchestration logic, and full-stack systems.
  • •Discover and advise on multi-agent systems, architectures, and fine-tuned models tailored to customer data, domain, and security needs during presales.

Key Requirements

  • •4+ years of experience in a high-impact, customer-facing technical role such as AI Architect, Technical Consulting, high-touch Sales Engineering, or technical consulting for SaaS/AI products.
  • •Deep expertise in the modern AI/ML stack, including LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks.
  • •Hands-on proficiency in Python, Go, and JS/TS, including experience with LLM frameworks.
  • •Strong business acumen to simplify technical complexity and communicate trade-offs, value propositions, and project plans to engineering and non-technical C-suite leaders.
  • •Thrives in ambiguity, takes full ownership of outcomes, and delivers measurable results under tight timelines.
Experience:4+ yearsAIMLSaaS
Skills:Business acumenCommunicationCustomer-facingOwnershipCollaboration
Languages:English
Tech Stack:PythonGoJavaScriptTypeScriptLLMsGenerative AIVector databasesAgent orchestration frameworksMCP frameworkRetrieval pipelinesMulti-agent systemsCRMsERPsAPIs

Company Brief

Dialpad
Provides cloud-based business communications platform offering voice, video, messaging, contact center, and AI-driven call intelligence to help teams communicate and collaborate across devices and locations.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2011
WebsiteLinkedIn