> Markdown version of [/jobs/ext/1681291-director-of-ai-platform](https://www.wearedevelopers.com/jobs/ext/1681291-director-of-ai-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Director of AI Platform

- **Company:** Mlops
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, DevOps, Machine Learning, Delivery Pipeline, Large Language Models, Generative AI, AI Platforms, Kubernetes, Machine Learning Operations, Docker
- **Published:** July 18, 2026
- **Apply:** https://es.trabajo.org/oferta-3453-234bd478ee12d640ad334d20724c4217

## About the Role

Experteer Overview No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción. As Director of AI Platform, you will shape and scale Glovo's unified ML and AI platform, driving the vision and strategy across global teams. You'll enable teams to leverage AI effectively by establishing robust MLOps practices and an end-to-end platform, partnering with executives and stakeholders. You'll lead a globally distributed engineering organization to improve velocity, reliability, and cost efficiency while fostering a culture of learning and technical rigor. This role offers the chance to influence AI adoption at scale and advance a world-class engineering platform that empowers product and business teams. Compensaciones / Beneficios * Define and own the vision, strategy, and roadmap for the unified ML and AI platform * Oversee end-to-end MLOps platform development, target architecture, tech stack, and
operating model * Evangelize MLOps practices and monitor KPIs/SLOs for reliability, performance, and cost * Lead and mentor cross-functional, globally distributed teams; foster innovation and continuous learning * Partner with global stakeholders; manage buy-in and promote platform adoption and standards * Drive cost optimization and vendor/partner relationships as needed * Stay updated on MLOps and AI/ML trends (e.g., Generative AI) Responsabilidades * 10+ years in Data u0026 ML leadership within high-growth tech * Hands-on design/operation of MLOps platforms (CI/CD for ML, deployment pipelines, monitoring, feature stores, scalable serving) * End-to-end ML lifecycle proficiency; xqbhyrx familiarity with hyperscaler MLOps offerings * Strong DevOps understanding; experience with infrastructure-as-code, Docker, Kubernetes * 5+ years in leadership roles with globally distributed teams * Ability to align ML initiatives with business goals and manage senior stakeholders * Experience
with driving organizational change and technology adoption * Knowledge of AI advances (LLMs, RAG) is a plus * Industry knowledge of ML challenges in global organizations Requisitos principales *



## Related Videos

- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it)
- [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow)
- [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes)

## Related Articles

- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)