AI Solution Architect
Pubblicato il 22-10-2026 - Hitachi in Lodi
Overview
As an AI Architect, you will define and lead the architecture for enterprise-grade AI solutions. You will shape scalable, secure AI platforms aligned with business goals, working with product, engineering, data science, and business teams. You'll translate strategic objectives into architecture blueprints, governance, and implementation roadmaps, tackling data pipelines, model integration, and deployment patterns.
You'll drive best practices in AI/ML engineering, MLOps, and platform scalability across programs. This role offers impact at scale, shaping AI solutions that span generative AI, analytics, NLP, and computer vision.
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 architecture for AI solutions across domains (generative AI, predictive analytics, NLP, computer vision)
- Create architecture blueprints, reference patterns, and standards for scalable, secure AI platforms
- Ensure alignment of AI architecture with enterprise principles and business objectives
- Lead design governance, reviews, and compliance with security, privacy, and responsible AI requirements
- Provide architectural guidance to solution architects, engineers, and project teams throughout delivery
- Guide best practices for AI/ML engineering, MLOps, model lifecycle, and platform scalability
Requisiti fondamentali
- 8+ years of experience in technology roles with substantial AI/ML solution architecture and enterprise platform design
- Strong Python skills and experience with AI/ML frameworks
- Data architecture, APIs, and system integration patterns
- Hands-on experience with cloud platforms (Azure, AWS, or GCP), MLOps, containerization, and scalable deployment architectures
- Excellent communication and stakeholder management skills to influence technical and business decisions
- Strong communication
- Stakeholder management
- Collaborative mindset
- Python
- AI/ML frameworks
- Data architecture