
AI Solutions Architect
MSX International3 months ago
Barcelona, SpainSenior
Responsibilities
- Recommend enterprise reference architectures for AI-related solutions.
- Design end-to-end pipelines for Generative AI, Machine Learning, and agentic workflows.
- Evaluate technical feasibility and conduct rapid prototypes, proofs of concept, and MVPs.
- Define technical requirements, model dependencies, integration points, scaling needs, and resource estimates.
- Optimize architectures for latency, cost-efficiency, token management, reliability, and sustainable operation.
- Establish architectural patterns for AI safety, bias mitigation, human-in-the-loop components, governance, and lifecycle management.
- Provide technical oversight, architecture reviews, leadership, and mentorship across AI implementation teams.
- Design and execute technical assessments of AI models and emerging technologies.
- Apply LLM validation frameworks to assess model performance, accuracy, safety, and suitability.
- Evaluate external AI products and services for architectural fit and integration readiness.
- Maintain reusable AI architecture patterns, component templates, and concise documentation for governance and auditability.
Requirements
- Bachelor's or master's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field.
- At least 5 years of experience designing end-to-end technical architectures for Machine Learning and Generative AI solutions.
- Solid foundational knowledge of Machine Learning and Software Architecture.
- Proven experience with technical feasibility assessments, rapid prototyping, POCs, and MVPs.
- Experience with enterprise-scale systems, security standards, and AI governance.
- Expertise in AI design patterns including RAG, fine-tuning, and agentic workflows.
- Experience with model evaluation frameworks and technical assessment of AI models.
- Strong technical leadership, mentorship, stakeholder management, and cross-functional collaboration skills.
- Ability to optimize architectures for scalability, cost-efficiency, and reliability.
- Professional proficiency in English is required; Italian and/or additional European languages are a plus.