Digital Solutions Engineer

POSITION OVERVIEW Monaco Engineering Solutions (MES) is establishing a focused AI-driven digital capability to enhance internal process execution, spanning from proposal development to engineering studies delivery. The Digital Solutions Lead will be the cornerstone of this initiative, responsible for designing, developing, and deploying digital tools that reduce execution time, improve quality and consistency, and create scalable, differentiating capabilities for MES Italy. REPORTING & LOCATION Reports to: MES Italy Management Department: Digitalization

Location:
Italy (San Donato Milanese
- hybrid working considered) Contract Type: Permanent, full-time

Experience:
2 – 5 years CORE RESPONSIBILITIES Digital Roadmap & Strategy
• Define and maintain the digital solutions roadmap aligned with MES Italy's strategic objectives.
• Identify, prioritise, and scope high-impact use cases across proposal development and engineering studies.
• Set clear product success criteria and track performance against agreed KPIs. Tool Development & Deployment
• Perform hands-on software development to build AI-driven and data-driven tools.
• Oversee the full product lifecycle: design, development, testing, deployment, and iteration.
• Industrialise tools already in progress, including:
• AI-based Asset Registration from P&IDs
• Equipment Criticality Assessment tool
• RCM Agentic AI solution
• Process Safety Related Tools, and
• Explore and prototype future tools such as SPIR Review, Spare Parts optimisation, Residual Life Assessment, and Life Cycle Costing.
• Other that may be required by the company. Engineering & Cross-Functional Collaboration
• Act as the bridge between engineering teams and software development, translating engineering workflows into practical digital solutions.
• Work directly with engineers on live projects to gather feedback and drive continuous improvement.
• Support standardisation of digital tools across MES offices. Documentation, Training & Adoption
• Develop and maintain comprehensive technical documentation and user manuals for all tools.
• Design and deliver training courses to ensure effective adoption by engineering teams.
• Champion a culture of digital enablement; develop tools with engineers, not for them. Commercialisation & Innovation
• Support client-facing innovation and pilot projects utilising developed tools.
• Assess the licensing and commercial packaging potential of developed solutions (premium services / SaaS).
• Contribute to proposal development by showcasing digital capabilities as a differentiator. REQUIRED QUALIFICATIONS

Education:
University degree in Computer Science, Software Engineering, or a closely related discipline. A background (academic or professional) in Asset Integrity, Maintenance Engineering, or Process Safety is preferred.

Experience:
2 – 5 years of professional experience. Demonstrated practical exposure to AI/ML or data-driven tool development is valued over years of experience. Languages: Italian – C1/C2, .
English – B2/C1 TECHNICAL SKILLS & COMPETENCIES Essential
• Proficiency in Python and/or other relevant programming languages for AI/ML and data processing applications.
• Hands-on experience with AI frameworks, large language models (LLMs), and agentic AI concepts.
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based AI/ML services.
• Ability to design, build, and deploy web-based or desktop tools for non-technical end users.
• Strong understanding of data structures, APIs, and software architecture fundamentals. Desirable
• Familiarity with engineering data formats, P&ID interpretation, and asset management concepts (ISO 14224, SAE JA1011, CMMS datasets).
• Experience with database design (SQL/NoSQL) and data pipeline development.
• Experience with version control (Git) and software development best practices (CI/CD, testing). BEHAVIOURAL COMPETENCIES
• Pragmatic, delivery-oriented mindset — focused on usable tools, not theoretical perfection.
• Ability to work autonomously and take ownership of the full product lifecycle.
• Strong communication skills; able to explain technical concepts to non-technical engineers and management.
• Proactive in identifying problems and proposing digital solutions.
• Collaborative and open to continuous feedback from engineering peers.
• Comfortable operating in a dynamic, entrepreneurial environment with evolving priorities. WHAT MES OFFERS
• A unique opportunity to build and lead MES Italy's digital capability from the ground up.
• Direct collaboration with experienced engineers across Asset Integrity, Maintenance, and Process Safety disciplines.
• Access to real, complex engineering projects in the energy and petrochemical sectors.
• Clear career progression path toward a dedicated Digital Business Line.
• Investment in professional development, including funded training programmes and certifications.
• Potential eligibility for regional incentives supporting digital innovation (e.g. Voucher Lombardia, Fondimpresa, Nuova Sabatini).
• A driven, multi-national team with a blend of experienced consultants and young enthusiastic engineers.