Ai Solutions Architect
Pubblicato il 25-10-2026 - Msx International in Latina
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