other
Posted Feb 17Solutions Architect
at Vercel
AustraliaRemote
Responsibilities
- Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics).
- Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel’s value and differentiate our platform.
- Own and run proofs of concept and pilots end‑to‑end: define success criteria, guide implementation, remove technical blockers, and ensure executive‑level outcomes are documented.
- Act as lead architect post‑sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices for building and operating on Vercel.
- Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns that scale across customers and regions.
- Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps as the technical Voice of the Customer.
Requirements
- As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
- You will guide architecture and implementation decisions, identify when to engage Professional Services or Developer Success, and work across Product and Engineering to unblock customers and drive long-term success for critical AI and Web workloads. What You Will Do
- experience in a customer‑facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms.
- You bring strong hands‑on skills with JavaScript/TypeScript and modern web frameworks, ideally including Next.js, and are comfortable reviewing and discussing application code with engineering teams.
- You understand web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows and can translate them into practical guidance for enterprise architectures.
- You are familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures.
- experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK. Bonus If You Have production