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AI Solutions Architect

Pubblicato il 26-10-2026 - Msx International in Roma

Overview

In this role you willDesign scalable, secure AI architectures and production-grade pipelines. Serve as the primary technical authority within the AI & Data Center of Excellence, translating business requirements into robust engineering solutions. You will guide feasibility assessments, prototype fast, and ensure modular, governance-aligned designs for enterprise deployment. You'll collaborate across Security, Data, and Infrastructure to enable scalable AI initiatives with measurable impact.

Responsabilità

- Architectural blueprinting and reference architecture recommendations for AI solutions
- Design end-to-end pipelines for Generative AI, ML, and agentic workflows
- Ensure modularity, reuse, security, and compliance in AI architectures
- Recommend optimal technical stacks for business use cases
- Collaborate with AI governance to align with risk and lifecycle requirements
- Conduct feasibility assessments, rapid prototyping (POCs/MVPs), and define technical requirements
- Provide high-level effort estimations and resource needs
- Define scalable production requirements and latency/cost/reliability targets
- Establish AI safety, bias mitigation,



and human-in-the-loop patterns
- Provide technical oversight and architecture reviews for AI projects
- Stay up-to-date with AI patterns (RAG, fine-tuning, multi-agent systems) and validate models and tools
- Maintain concise architectural documentation for governance and auditability

Requisiti fondamentali

- 5+ years designing end-to-end architectures for ML and Generative AI
- Experience with feasibility assessments, POCs/MVPs, and business-engineering alignment
- Experience with enterprise-scale systems, security standards, and AI governance
- Proven ability to lead technical initiatives and mentor teams
- Strong stakeholder management across Security, Data, and Infrastructure
- Solid knowledge of ML design patterns and model evaluation frameworks
- Strong leadership and mentorship
- Stakeholder management
- Cross-functional collaboration
- AI design patterns (RAG, Fine-tuning, Agentic workflows)
- Model evaluation frameworks
- Architectural pattern design for modular AI systems

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