AI Solutions Architect

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