AI Solutions Architect

4 months ago

Warwick, United KingdomSenior

Responsibilities

Recommend reference architectures and design end-to-end pipelines for Generative AI, Machine Learning, and agentic workflows.
Evaluate technical feasibility, conduct rapid prototypes, POCs, and MVPs, and define technical requirements, dependencies, and integration points.
Optimize AI architectures for scalability, latency, cost efficiency, reliability, and long-term sustainability.
Establish architectural patterns for AI safety, bias mitigation, human-in-the-loop workflows, governance, risk reviews, and lifecycle management.
Provide technical oversight, architecture reviews, leadership, and mentorship for AI implementation teams.
Design and execute technical assessments of AI models and emerging technologies using structured LLM validation frameworks.
Review external AI products and services for architectural fit and integration readiness.
Maintain reusable AI architecture patterns, component templates, and concise documentation supporting governance and auditability.

Bachelor’s or master’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field.
At least 5 years of significant experience designing end-to-end technical architectures for Machine Learning and Generative AI solutions.
Proven experience conducting technical feasibility assessments, rapid prototyping, POCs, and MVPs while connecting business requirements with engineering execution.
Experience with enterprise-scale systems, security standards, and AI governance.
Expertise in AI design patterns such as RAG, fine-tuning, and agentic workflows, as well as model evaluation frameworks.
Strong technical leadership, mentorship, stakeholder management, and cross-functional collaboration abilities.
Ability to optimize architectures for scalability, cost efficiency, and reliability.
Professional proficiency in English; Italian or additional European languages are a plus.

1,001-5,000 employees