AI Solution Architect
Pubblicato il 21-10-2026 - Hitachi in L'Aquila
Overview
In this role you define and lead enterprise-grade AI architectures, shaping scalable, secure AI platforms. You collaborate with product, engineering, and business teams to translate strategy into architecture blueprints and roadmaps. You will oversee governance, data pipelines, model integration, and deployment patterns to ensure alignment with enterprise principles. You drive reusable patterns, MLOps practices, and platform scalability to enable impactful AI programs. This opportunity offers a chance to influence AI strategy across domains and deliver business-wide impact.
Retribuzione / Benefits
- Competitive salary and incentives
- Well-being and care
- Paid and unpaid leave
- Flexible work options
- Benefits that support your financial security
Responsabilità
- Define end-to-end AI solution architecture across domains (generative AI, predictive analytics, NLP, computer vision) and create architecture blueprints and standards
- Lead solution design and governance, covering data pipelines, API design, orchestration, deployment patterns, and observability
- Collaborate with product, engineering,
data, and business teams to translate needs into architecture designs and implementation roadmaps
- Provide architectural guidance to solution architects, engineers, and project teams throughout delivery
- Champion best practices for AI/ML engineering, MLOps, model lifecycle management, and platform scalability
Requisiti fondamentali
- 8+ years in technology roles with substantial AI/ML solution architecture and enterprise platform design experience
- Strong Python and AI/ML frameworks, data architecture, APIs, and system integration experience
- Hands-on experience with cloud platforms (Azure, AWS, or GCP), MLOps, containerization, and scalable deployment architectures
- Excellent communication and stakeholder management with ability to influence technical and business decisions
- excellent communication
- stakeholder management
- influencing across technical and business teams
- Python
- AI/ML frameworks
- data architecture