AI Architect

Posted 02 January 2026
Salary Negotiable
LocationMadrid
Job type Permanent
Discipline Data and AI
ReferenceBBBH40642

Job description

Conexus are working with a leading consulting firm that are searching for an experience AI Architect to bolster their AI capabilities in 2026.

This is a senior technical leadership role, suited to someone who enjoys designing enterprise-scale AI architectures, leading strong engineering teams, and working closely with clients to shape AI strategy and delivery.

What you'll be doing

  • Leading teams of machine learning engineers to deliver AI and Generative AI solutions in complex, large-scale enterprise environments

  • Designing end-to-end technical architectures for AI systems, covering the full data science and machine learning lifecycle

  • Architecting cloud-based analytics and AI platforms, with a strong focus on scalable, production-ready solutions and AIOps best practice

  • Advising clients on how to effectively leverage data science, machine learning and AI within cloud ecosystems

  • Working hands-on with modern cloud AI platforms such as Azure (Databricks, Azure ML), AWS (SageMaker), and Google Cloud (Vertex AI)

  • Designing robust, scalable AI/ML systems that integrate cleanly with wider enterprise architectures

  • Contributing to innovative use cases such as AI Digital Twins, combining AI/ML systems, rule-based logic and generative AI to enable real-time monitoring and optimisation

  • Supporting pre-sales and proposal work, bringing architectural expertise into client-facing discussions

What they're looking for

  • Degree in Computer Science, Engineering or a related technical field

  • 8+ years of overall professional experience, with at least 5 years in machine learning engineering or AI/ML architecture roles

  • Strong background in software engineering and hands-on AI implementation

  • Proven experience designing and building scalable, cloud-based machine learning platforms

  • Deep understanding of data science fundamentals, AI solution lifecycles and AIOps

  • Strong experience across at least one major cloud platform: Azure, AWS or Google Cloud

  • Confident communicator, able to engage both technical teams and senior, non-technical stakeholders

If you're a senior AI Architect looking for a role that combines deep technical ownership, leadership, and client-facing impact, please respond with your latest CV in English.