IT Business Analyst

Join Saipem and engineer a sustainable future.

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.

Purpose of the position

As Forward Deployed AI Engineer, you will be part of Saipem’s structured AI LAB department within the Digital and IT unit. You will design, manage and bring to production intelligent workflows that automate IT and business processes, integrating AI models, task orchestration and enterprise systems.

How can you support us?

Analyze processes and identify AI automation opportunities.

Design multi-step and agentic AI workflows and integrate them with enterprise systems, APIs and Azure services.

Automate tasks and decision management, implementing appropriate controls and fallbacks.

Monitor quality, performance and exceptions.

Document solution architectures and process flows.

What are we looking for?

Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Automation, Data Science, Artificial Intelligence, or a related field.

Background: 1–3 years of experience in software development, automation or applied AI. Academic projects, internships and thesis work involving APIs, cloud technologies or workflows will also be considered.

Languages: Italian and English proficiency level.

Technical/IT Knowledge: Python or comparable development skills; basic knowledge of LLMs, prompt engineering or automation; experience with APIs, cloud technologies or workflow solutions; ability to translate business needs into technical solutions.

What else should you know?

• The position is based in Milan and follows a hybrid working model.
• The role requires close collaboration with both IT and business stakeholders.
• Experience or knowledge of the Oil & Gas or Engineering sector is considered a plus.
• Experience with Copilot, Azure or low-code platforms.

What we can offer to you

Pay not lower than: 38000 €

Corporate Benefits: a comprehensive benefits package, including health insurance, internal gym, discounts and partnerships, services related to health, family and well-being, and an in-house cafeteria.

Hybrid working model: Smart Working options and flexible hours to help you achieve a better work-life balance.

Se i requisiti e l'esperienza richiesti per questo lavoro corrispondono alle sue competenze, la preghiamo di candidarsi tempestivamente.
Transparency Note
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 remuneration received by the candidate in previous employment relationships;

any subjective or discriminatory factors, including but not limited to gender or other personal characteristics.

Regulatory Compliance
The decision is made in compliance with:

the principle of equal pay for the same work or work of equal value;

the pay transparency requirements set out in EU Directive 2023/970 and the relevant national implementing legislation.

Additional Information
We support your development! Do you feel you might not fit this role perfectly? If you think you can contribute to our business development in the future, don’t hesitate to apply anyway through our spontaneous application form! xysqume

PRIVACY POLICY
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).

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