AI Solutions Architect: Scale Production‑Grade AI Systems

Visium; Barcelona; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Education budget

Sport budget

Flexible working culture

Opportunity to impact thousands

International, collaborative team

Job summary

Visium is seeking an AI Solutions Architect to design and deliver end-to-end AI solutions on client AI platforms. You will bridge business needs and technical implementation, ensuring scalable, secure, and production-ready deployments across GenAI, RAG, AI agents, and ML.

Collaborate with the Data Platform Architect to evolve the underlying AI platform and promote best practices, governance, and scalable architectures across teams.

Qualifications

• 8+ years in AI solution roles.
• Experience delivering production-grade AI solutions on Azure.
• Deep Azure AI services and Databricks/Synapse expertise.
• Strong cloud security, governance, and deployment knowledge.
• Excellent stakeholder management and leadership.

Responsibilities

• Design and deliver end-to-end AI solutions from PoC to production.
• Architect AI use cases including GenAI, RAG, AI agents, and ML.
• Collaborate with stakeholders to translate requirements into scalable designs.
• Partner with Data Platform Architect to evolve AI platform.
• Define AI architecture standards and governance.
• Guide engineering teams to ensure quality, scalability, security, and compliance.
• Evaluate emerging AI technologies to improve designs.
• Mentor engineers and provide technical leadership.

Skills

AI Architecture

ML Pipelines

Azure Cloud

MLOps

Stakeholder Management

Tools

Azure ML

Databricks

Azure Synapse

LLMOps

Job description

Visium is seeking an AI Solutions Architect to design and deliver end-to-end AI solutions on client AI platforms. You will bridge business needs and technical implementation, ensuring scalable, secure, and production-ready deployments across GenAI, RAG, AI agents, and ML.

Collaborate with the Data Platform Architect to evolve the underlying AI platform and promote best practices, governance, and scalable architectures across teams.