AI Architect — Build Real Production AI, Embedded in Clients

Provectus; Palo Alto (CA); Sur place; USD 180 000 - 200 000; Plein temps

Avantages offerts par ce poste

Unlimited vacation

Health, vision, and dental insurance

401(k) matching

Résumé du poste

Provectus embeds with clients in regulated industries to deploy Claude + AWS systems into production environments, taking ownership from framing to delivery. You’ll work directly in customer teams, shipping real solutions rather than slides, with access to Claude-certified teams and a path to industry-wide impact.

You will operate in a hands-on role, delivering production-grade AI systems on AWS, often visiting client facilities, and contributing to a growing AI delivery practice.

Qualifications

• 7+ years building software with production code you were accountable for.
• Ability to quickly understand an unfamiliar business function.
• Shipped GenAI/LLM systems to production, not just demos.
• Built or owned an eval suite for non-deterministic systems.
• Strong fundamentals; comfortable with new codebases; Python/TypeScript adept.

Responsabilités

• Spend initial weeks learning constraints in the client environment and rebuild from first principles.
• Work as part of the customer’s team and own the method autonomously.
• Leverage Provectus Blueprints to start from a proven baseline in finance/healthcare.
• Deliver across Cowork Activation, Engineered SDLC, and Blueprint Activations for Financial Services and Healthcare.
• Shape how enterprises adopt AI from strategy to deployment and contribute to tooling/frameworks.

Connaissances

GenAI/LLM production

Python

TypeScript

Pre-sales experience

Cloud-native

Outils

AWS

GCP

Azure

Kubernetes

Claude

Cowork

Description du poste

Provectus embeds with clients in regulated industries to deploy Claude + AWS systems into production environments, taking ownership from framing to delivery. You’ll work directly in customer teams, shipping real solutions rather than slides, with access to Claude-certified teams and a path to industry-wide impact.

You will operate in a hands-on role, delivering production-grade AI systems on AWS, often visiting client facilities, and contributing to a growing AI delivery practice.