Job Purpose
The role is aimed at supporting the translation of MSC's AI strategy into valuable solutions enabled by scalable architectures, structured processes and a sound governance across the Cruise Division.

Key Accountabilities
- Translate MSC's AI technology strategy into reference architectures, standards and implementation roadmaps.
- Design reusable, governed and secure AI/GenAI architecture patterns aligned with the Sail-as-One operating model.
- Define AI platform building blocks and data/model governance guardrails to ensure responsible, compliant and ethical AI.
- Support the adoption and enablement of internal AI tools (e.g. Microsoft Copilot, GitHub Copilot) across the organization, promoting effective and responsible use.
- Manage the AI ideas evaluation funnel, assessing and prioritizing use cases by value, feasibility and risk to guide investment decisions.
- Drive technology scouting, monitoring the AI market, vendors and emerging solutions to inform MSC's AI roadmap and architecture evolution.
- Evaluate and select AI/ML services, foundation models and tooling,



balancing innovation, cost and risk.
- Partner with product, data and delivery teams to embed AI capabilities into enterprise solutions and review High-Level Designs (HLD).
- Drive the technology evolution of applications through AI-enabled modernization and automation.
- Promote AI architecture reuse, reference patterns and enablement across the AI Chapter and the wider EA community.

Requirements
- English and Italian as primary working languages.
- Degree in Computer Science, Engineering, Data Science, Business innovation or related fields; AI/ML or cloud certification strongly preferred.
- 3+ years of experience in business innovation, solution / AI architecture or applied ML/AI engineering, including hands-on design of AI-enabled solutions and the definition of standards or reference architectures.
- Experience in complex, multi-divisional enterprise environments.
- Strong technical

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