AI Transformation Architect — Enterprise Solutions

Dialpad; Greater London; On-site; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Real growth opportunities

Job summary

Dialpad is seeking an AI Transformation Architect to accelerate value from our AI platform within strategic customer accounts. You will translate complex business challenges into validated Agentic AI designs, acting as the primary technical consultant during presales motions.

You will partner with Sales, Engineering, and Professional Services to validate concepts, prototype integrations, and influence product direction for enterprise deployments.

Qualifications

• 4+ years in a high-impact, customer-facing technical role such as AI Architect or Solutions Architect.
• Deep expertise in the modern AI/ML stack: LLMs, Generative AI, vector databases, and agent orchestration frameworks.

Responsibilities

• Translate complex business challenges into validated, high-impact Agentic AI designs for strategic customer accounts.
• Partner with Sales, Sales Engineers, and Professional Services to provide technical validation during pre-sales evaluations.
• Capture customer pain points and platform limitations to inform product roadmap and accelerate feature development.
• Scope integration feasibility across cloud/on-prem/data pipelines for AI deployments.
• Demonstrate feasibility of multi-step prompts, retrieval pipelines, and API integrations during presales workshops.

Skills

AI Architect experience

Technical consulting

SaaS/AI products

Python/Go/JS/TS

Business acumen

Tools

LLM frameworks

Vector databases

APIs integration

Job description

Dialpad is seeking an AI Transformation Architect to accelerate value from our AI platform within strategic customer accounts. You will translate complex business challenges into validated Agentic AI designs, acting as the primary technical consultant during presales motions.

You will partner with Sales, Engineering, and Professional Services to validate concepts, prototype integrations, and influence product direction for enterprise deployments.