
Solutions Architect
RemoteStar
full-time
Posted on:
Location Type: Hybrid
Location: Milan • Italy
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Tech Stack
About the role
- Engage with customers, product teams, and engineers to design and deliver AI/ML solutions that solve real-world business challenges.
- Translate complex business requirements into architecture and design for AI models, data pipelines, and deployment strategies.
- Lead discovery sessions and technical workshops with clients to understand their data, systems, and AI maturity.
- Collaborate with software engineers, data scientists, and DevOps to ensure solutions are implemented as designed.
- Stay on top of the latest trends in AI, cloud, and edge computing to inform product and solution design.
- Function effectively in a fast-paced, high-energy market segment and successfully balance multiple projects (Sales opportunities, enterprise RFPs, SME programs, internal enablement, etc.).
Requirements
- 2+ years of proven experience on a similar role delivering AI projects at scale.
- Solid understanding of AI concepts: supervised and unsupervised learning, LLMs, NLP, computer vision, and model lifecycle management.
- Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
- Traveling: Must be available to travel as needed for meetings, conferences, and project requirements.
- Languages: proficient in Italian & English.
Benefits
- Indefinite contract.
- Equal pay guaranteed.
- Private health insurance.
- Eligibility for educational budget according to internal policy.
- Hybrid opportunity.
- Flexible working hours.
- Language classes and discounted lunch options.
- A high-performance, collaborative environment, operating at pace on cutting-edge technologies.
- Career plan.
- Opportunity to learn and teach.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMLdata pipelinesdeployment strategiessupervised learningunsupervised learningLLMsNLPcomputer visionmodel lifecycle management
Soft Skills
communication skillspresentation skillsinterpersonal skillscollaborationproject managementproblem-solvingadaptabilityleadership