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Saipem is seeking an AI Solution Architect to join the AI Lab within the Digital and IT environment in Milan. You will help design and deliver secure, scalable AI solutions from requirements to production, collaborating with business, IT and security teams to implement enterprise use cases.
The role emphasizes LLMs, RAG, APIs, and DevOps/MLOps practices, with a hybrid work model and growth in Azure services. A background in cloud and AI engineering is valued.
We are a global leader in engineering and construction for the energy and infrastructure sectors, delivering complex onshore and offshore projects worldwide. Driven by technological innovation as “One Company”, our 30,000 people from over 130 nationalities in more than 50 countries work every day to enable the energy transition toward Net Zero. At Saipem, we embrace diversity as a driver of innovation and inclusion, while prioritizing people’s safety and environmental sustainability, even in the most challenging conditions.
As AI Solution Architect, you will be part of Saipem’s AI Lab within the Digital and IT environment. Working with experienced architects and technical specialists, you will contribute to the design and delivery of secure and scalable AI solutions, supporting initiatives from requirements analysis and architectural definition through development, testing and production release. You will collaborate with business, IT and security stakeholders on concrete enterprise use cases.
Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Engineering or a related discipline.
Background: 1–3 years of experience in software development, cloud solutions, data or AI engineering. Relevant university projects, internships or thesis work involving cloud, APIs, AI solutions or software architecture will also be considered.
Languages: Italian and English proficiency.
Technical/IT Knowledge: Development skills, for example Python; basic knowledge of cloud architectures, APIs and software integration; familiarity with LLMs, prompt engineering, RAG or multi-step AI systems; basic understanding of CI/CD, DevOps or MLOps concepts; ability to document technical solutions and translate requirements into structured designs.
At the end of the selection process, the Company reserves the right to offer a different job level and/or salary package compared to what is indicated in this job posting, in line with the candidate’s professional experience, technical and soft skills.
Any Deviation Shall Be Duly Justified And Documented In Accordance With Internal Procedures And The Non-Discrimination Statement. Such Deviation Shall In No Way Be Related To
The Decision Is Made In Compliance With
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All interested candidates (L. 903/03) are invited to consult the privacy policy (art. 13 and 14, D.Lgs 196/03 and art. 13 GDPR 679/16).