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 ******
By applying to this role you understand that we may collect your personal data and store and process it on our systems.
For more information please see our Privacy Notice
#J-*****-Ljbffr