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# Technical Lead - Ai Platform

- **Company:** Alarmas Verisure Argentina
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Azure Machine Learning, System Availability, AI Platforms, Kubernetes, Machine Learning Operations, Terraform
- **Published:** August 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

Technical Lead, Staff Engineer, or Principal Engineer.Strong expertise in AWS and/or Azure cloud environments.Hands?on experience with:Kubernetes & DockerCI/CD pipelinesInfrastructure as Code (Terraform or similar)Observability and monitoring toolsSolid 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 HaveExperience 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.Who You AreA hands?on technical leader who leads through influence and expertise.Passionate about scalable, reliable, and, reusable platform

## 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 doingOwn 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.Good fit if you haveExtensive experience in MLOps, AIOps, platform engineering, or production AI systems.Previous experience as a


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