Senior AI & Quantum Solutions Architect (Pre-Sales)

Multiverse Computing LLC; Milano; In loco; EUR 90.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equal pay guaranteed

Signing bonus

Relocation package

Education budget

Hybrid opportunity

Flexible working hours

Language classes

Discounted lunch

Career plan

Progressive company culture

Descrizione del lavoro

Multiverse Computing LLC is seeking a talented Solutions Architect to join our pre-sales team in Milan, Italy. You will bridge technology and customer needs, crafting AI-powered solutions and scalable architectures for premier clients.

The role demands strong cloud and ML expertise, hands-on demo delivery, and the ability to work across hybrid deployment models, with travel as needed.

Competenze

• Experience in a technical partner pre-sales or consulting role with partner and customer-facing interactions (Solutions Architect, Sales Engineer, Implementation Consultant).
• Excellent communication and presentation skills for technical and non-technical stakeholders.
• Experience writing technical proposals or responding to RFPs/tenders; ability to run hands-on product demos independently.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services including on-premise and hybrid deployments.
• Familiarity with MLOps tools and practices: CI/CD, monitoring, orchestration frameworks (Kubeflow, Flyte, MLflow); Docker and Kubernetes for AI workloads.

Conoscenze

Cloud platforms

Python

SQL

ML libraries

Communication

Proposal writing

Product demos

Willing to travel

Languages

Formazione

Bachelor's or Master's in CS/Data Science/Engineering

Strumenti

Docker

Kubernetes

Kubeflow

MLflow

Cloud providers (AWS/Azure/GCP)

Descrizione del lavoro

Multiverse Computing LLC is seeking a talented Solutions Architect to join our pre-sales team in Milan, Italy. You will bridge technology and customer needs, crafting AI-powered solutions and scalable architectures for premier clients.

The role demands strong cloud and ML expertise, hands-on demo delivery, and the ability to work across hybrid deployment models, with travel as needed.