10 ago - Italia
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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 skills across cloud AI platforms
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