Solutions Architect / Pre-Sales Engineer (Ai & Infrastructure)

Solutions Architect / Pre-Sales Engineer (AI & Infrastructure)

Location: Milan, Italy (Hybrid)

Sector: Deep Tech / AI & Quantum Software

Focus: Enterprise Solutions & Technical Strategy

Join a leading Quantum & AI software company in Munich!

A rapidly growing, well-funded deep-tech company at the forefront of quantum computing and artificial intelligence are seeking a highly motivated Solution Architect/Presales Engineer to join the team.

The Opportunity

This role is the vital bridge between deep-tech engineering and enterprise-scale deployment. It offers the chance to design AI and LLM architectures for major Italian and international organisations across finance, energy, and manufacturing.

The Role & Responsibilities

The Solutions Architect acts as the technical authority during the sales cycle, ensuring that complex business challenges are met with robust, scalable AI architectures.

• Solution Design: Translate intricate business requirements into high-level architectures, covering AI models, data pipelines, and deployment strategies.
• Technical Advisory: Lead discovery sessions and workshops with C-suite and technical stakeholders to assess data maturity and infrastructure readiness.
• Pre-Sales Excellence: Deliver high-impact technical demonstrations and manage complex RFP responses for enterprise-level opportunities.
• Cross-Functional Alignment: Partner with internal Data Scientists, DevOps, and Product teams to ensure the proposed solutions are both innovative and implementable.
• Market Intelligence: Maintain a deep understanding of evolving trends in LLMs, Edge Computing, and Cloud infrastructure to guide product direction.

Required Experience & Qualifications

The ideal candidate combines a strong academic background with the "soft skills" required to influence stakeholders in a fast-paced commercial environment.

• Experience: 2+ years of proven success in a Pre-Sales, Solutions Architecture, or Technical Consulting role, specifically delivering AI projects at scale.
• Technical Depth: A solid grasp of AI/ML concepts, including Supervised/Unsupervised Learning, LLMs, NLP, and the full Model Lifecycle (MLOps).
• Communication: Exceptional presentation skills;
  able to articulate complex technical value to non-technical business leaders.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Languages: Native-level/Proficient Italian and fluent English are required.
• Mobility: Flexibility to travel for client meetings and industry conferences as required.

Interested? Apply directly through LinkedIn, or send your CV to

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