DevOps especialista en AWS y Azure

NTT DATA is all of us. A team of more than 190,000 professionals, as diverse as the more than 50 countries in which we operate and the different sectors in which we operate : telecommunications, financial institutions, industry, utilities, energy, public administration, and healthcare. To offer technological, business, strategy, application development, and maintenance solutions, becoming a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people, and the fact that we don't settle for the established; we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, to break paradigms, and to provide solutions that truly meet the needs of each client. Our talent has allowed us to proudly say that we are one of the TOP technology companies in the world.

As an AI Architect at NTT DATA, you will be the technical visionary and hands-on leader responsible for defining, designing, and guiding the implementation of enterprise-grade AI and generative AI solutions. You will collaborate closely with data engineers, ML engineers, cloud architects, and business stakeholders to translate strategic objectives into scalable, secure, and maintainable AI systems.

Architect end-to-end AI and generative AI platforms, covering data ingestion, modeling, deployment, monitoring, and governance.

Design secure, cost-effective deployments on public cloud providers (Azure, AWS, or GCP), leveraging native AI / ML services as appropriate.

Terraform) to provision and manage cloud resources consistently and reproducibly.

Establish CI / CD pipelines for model versioning, automated testing, and continuous monitoring using tools like MLflow (or equivalent).

Containerize services and models with Docker; design orchestration patterns (Kubernetes, ECS, etc.) Drive adoption of coding standards, security best practices, and data privacy controls across AI projects.

Partner with stakeholders—data scientists, data engineers, cybersecurity, and business units—to ensure alignment with organizational goals.

Mentor junior engineers, lead architecture reviews, and contribute to internal communities of practice on AI and cloud technologies.

Hands-on experience deploying machine learning workloads on Azure, AWS, or Google Cloud Platform.

Familiarity with cloud-native AI services (e.g., Azure AI Foundry, AWS SageMaker / Bedrock, Google Vertex AI).

Proficient in Python, with deep knowledge of AI / ML libraries (e.g., TensorFlow, PyTorch, Hugging Face).

Demonstrable experience using Terraform (or equivalent) to define and manage cloud infrastructure.

Solid understanding of Docker; experience with Kubernetes or other container orchestration systems is a plus.

Excellent command of English (C1–C2 level), with the ability to articulate complex technical concepts to diverse audiences.

Master's degree in Computer Science, Engineering, Data Science, or related field.

Experience in Agile / Scrum environments and collaborating with remote teams.

Background in consulting or client-facing AI delivery projects.

At NTT DATA, we offer :

Training tailored to your needs and preferences. Flexibility and work-life balance : a hybrid work environment and flexible hours.

Cutting-edge projects : the opportunity to work on high-priority projects for leading companies in Spain and Europe.

The latest technology : the opportunity to apply the latest innovations in generative AI in leading international companies.

Benefits : meal tickets, 100% paid medical insurance for you and 80% paid to your family if you wish them to benefit from it, and life insurance.