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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Lead - AI Platform - **Company:** Verisure Sàrl - **Location:** Pozuelo de Alarcón, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Github, Python (Programming Language), Azure Machine Learning, Large Language Models, Technical Debt, Build Management, AI Platforms, Gitlab-ci, Kubernetes, Data Analytics, Machine Learning Operations, Terraform, Docker - **Published:** August 22, 2026 - **Apply:** https://www.jobleads.com/es/job/ec958e9c038814f1d41feee9b3ad4b5d8 ## About the Role * Extensive experience in MLOps, AIOps, platform engineering, or production AI systems. * Previous experience as a Technical Lead, Staff Engineer, or Principal Engineer. * Strong expertise in AWS and/or Azure cloud environments. * Hands-on experience with: + Kubernetes & Docker + CI/CD pipelines + Infrastructure as Code (Terraform or similar) + Observability and monitoring tools * Solid understanding of ML, LLMOps, AgentOps, RAG architectures, and AI lifecycle management. * Strong Python skills. * Experience mentoring engineers and driving technical excellence. * Ability to communicate complex technical topics to both technical and non-technical stakeholders. * Fluent English. Nice to Have * Experience with SageMaker, Azure ML, MLflow, or Kubeflow. * Knowledge of Speech Analytics and conversational AI. * Experience building AI Agents, Copilots, or GenAI solutions. * FinOps experience for AI workloads. * AWS, Azure, or Kubernetes certifications. * Experience in regulated environments and AI governance., * A hands-on technical leader who leads through influence and expertise. * Passionate about scalable, reliable, and reusable platform solutions. * Pragmatic and data-driven in decision-making. * Committed to mentoring others and raising engineering standards. * Skilled at balancing long-term architecture with short-term delivery needs. Technology Environment * Cloud: AWS, Azure * Containers: Kubernetes, Docker * CI/CD: GitHub Actions, GitLab CI, Azure DevOps * IaC: Terraform * Observability: Elastic or Helix * AI Tools: SageMaker, Azure ML, MLflow, LangChain, Langfuse * Language: Python ## Description We're looking for a Technical Lead to drive the technical vision, architecture, and engineering excellence of our AI Platform, supporting MLOps, LLMOps, AgentOps, and AI solutions at scale. This is a hands-on leadership role, combining technical strategy with active engineering contributions. You'll work closely with the Product Owner, AI Engineers, Data Scientists, and Infrastructure teams to ensure our platform is secure, scalable, reliable, and cost-efficient. What you'll be doing * Own the technical architecture and long-term vision of the AI Platform. * Lead key design decisions and establish engineering standards and best practices. * Design and build critical platform components and cloud infrastructure. * Drive platform reliability, observability, security, scalability, and FinOps initiatives. * Lead LLMOps and AgentOps engineering practices, including monitoring, governance, and operational excellence. * Mentor engineers through design reviews, coaching, and technical leadership. * Support backlog prioritization with technical feasibility, risk, and effort assessments. * Partner with Architecture, Security, and Infrastructure teams on strategic initiatives., * A clear, scalable AI platform architecture. * Improved reliability, observability, and operational excellence. * Well-managed technical debt and engineering standards. * A stronger, more autonomous engineering team. * Efficient and cost-optimized AI workloads. This is an exciting opportunity to shape the technical foundation of AI at scale and play a key role in the evolution of a modern Data & AI platform. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)