Artificial Intelligence Engineer

MSC Mediterranean Shipping Company is a global business engaged in the shipping sector. Present in 155 countries, MSC facilitates international trade between the world’s major economies, and among emerging markets across all continents. Headquartered in Geneva, Switzerland, since 1978, MSC is a privately-owned organisation driven by the Aponte family. Today, we continue to focus on caring for customers, employees and the environment.

From a one-vessel operation to a globally respected business we have an unfaltering commitment to people that have passion, creativity and willing to make a change.

MSC Technology Italy is the first division located in the national territory, complementing existing offices in Geneva (the Group's headquarters), Warren (New Jersey, USA), and Chennai (India).

MSC Technology embodies Passion and a commitment to Continuous Evolution, strongly believing in Equal Opportunities and Caring for its People—ultimately fostering a sense of Family within the Company.

With over 3,000 employees, our Technology Department plays a pivotal role in driving business growth and elevating the quality standards across our functional lines.

Working within an international office and engaging in cross-country collaboration offers the opportunity to connect with individuals boasting diverse technical skills, backgrounds, cultures, and professional experiences. International travel not only enriches your understanding of business and languages within the ICT realm but also provides avenues for personal and professional growth.

In 2020, MSC Technology Italy was established as a technological division of MSC with the goal of creating a Center of Excellence to support the MSC Group's business.

Do you recognize yourself? Then come work with us and be part of MSC’s family

AI Developer

The Artificial Intelligence Engineer is responsible for designing, developing, and implementing innovative AI solutions that support the organization's digital transformation initiatives. Working as part of a global and multicultural team, the role focuses on delivering scalable Generative AI applications, integrating AI capabilities with enterprise systems, and contributing to the continuous evolution of AI engineering practices across the organization.

Key Responsibilities

• Design, develop, and implement medium to complex Generative AI solutions aligned with business and technology requirements.
• Build and maintain technical components, ensuring high standards of quality, scalability, and maintainability.
• Contribute to all phases of the software development lifecycle, including planning, analysis, design, implementation, testing, deployment, and continuous improvement.
• Develop Retrieval-Augmented Generation (RAG) solutions for large-scale document collections.
• Design and implement AI solutions integrating Large Language Models (LLMs) with enterprise databases and business applications.
• Develop API integrations and tooling to enable automated execution of AI-driven actions and workflows.
• Collaborate daily with global cross-functional teams to ensure timely delivery and adherence to quality standards.
• Participate in the definition of software components and their integration within the enterprise architecture.
• Produce and maintain technical documentation for AI applications and solutions.
• Contribute to Communities of Practice by providing technical input, reviewing implementations, sharing best practices, and supporting continuous improvement initiatives.
• Support knowledge sharing and training activities through the preparation of technical materials and documentation.

Qualifications and Experience

• Proven experience in designing and implementing medium to complex Generative AI solutions.
• Experience developing Retrieval-Augmented Generation (RAG) solutions for large-scale document repositories.
• Experience integrating Large Language Models (LLMs) with medium to large SQL databases (200+ tables).
• Knowledge of LLM frameworks such as Semantic Kernel, Microsoft Agentic Framework, or similar technologies.
• Experience developing AI tooling through API integrations and service orchestration.
• Basic knowledge of the Microsoft Azure platform and related cloud services.
• Experience implementing and managing CI/CD pipelines using Azure DevOps.
• Basic knowledge of low-code platforms for AI agents and automation, such as Microsoft Copilot Studio.
• Required: Experience with .NET, C#, RESTful API development, and SQL.
• Nice to have: Experience with Azure Cloud services and deploying applications in a cloud environment.