AI Architect

Experience:
• Experience in Industrial / Manufacturing companies is appreciated
• Artificial Intelligence and software architecture, with a strong track record in designing, implementing and governing AI solutions in enterprise environments, and at least 10 years of relevant professional experience.
• 10+ years of experience in software engineering with strong architecture background. At least 5 years of experience designing and deploying AI/ML systems in production.
• At least 1+ year of hands-on experience with Generative AI and AI agents, including LLM-based solutions in production.
• Experience in corporate or consulting environments.
• Experience integrating AI into complex IT landscapes.

Skills:
• Strong software and system architecture mindset.
• Deep technical expertise and strategic thinking.
• Hands-on AI and software engineering capabilities.
• Strong communication and interpersonal skills for both technical and non-technical audiences.
• Determination and proactivity, ability to work with minimal supervision.
• Strong team player mindset, with the ability to collaborate effectively within cross-functional and multidisciplinary teams.

Education:
• Master degree from an accredited institution, with degree preferred in Computer Science or Information Technology, or similar technological field (advanced degree preferred).
• Cloud & AI platform certifications (AWS, Microsoft or Google) appreciated

Languages:
• English and Spanish at proficiency level

Fluidra is looking for an AI Architect to join our IT team in our HQ in Sant Cugat.

Reporting into the AI Director, the Artificial Intelligence (AI) Architect is a key technical role responsible for defining, designing and governing Fluidra's Artificial Intelligence architecture and technology vision.

This position represents the technical authority in AI, ensuring that AI solutions are robust, scalable, secure, and aligned with Fluidra's corporate IT strategy.

The role combines architectural leadership with hands-on technical expertise, playing a critical role in building AI capabilities from the ground up while collaborating closely with business, IT, data and external partners.

AI Architecture & Technology Vision:

• Define the end-to-end AI architecture, AI platform requirements (cloud, on-prem, hybrid) and integration patterns.
• Establish architectural standards, best practices and design principles for AI solutions.

Hands-on AI projects & Engineering:

• Contribute hands-on to the design and development of AI solutions, especially in early or complex phases.
• Support the implementation of MLOps/ LLMOps practices, including deployment, monitoring and lifecycle management.
• Translate business needs into clear AI architectures and technical solutions.

Technical Leadership & Team enablement:

• Provide technical leadership and guidance to AI Engineers and other technical profiles involved in AI initiatives.
• Contribute to building a strong AI engineering culture focused on quality and technical excellence.

Technology & Market awareness:

• Evaluate emerging technologies for Fluidra's context.

Scope: Corporate-wide AI initiatives across commercial, manufacturing, supply chain, IoT and corporate functions.