AI Architect AWS / Azure / GCP

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.

Our mission? 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.

What are we looking for?

We are looking for people specialized in AI, specifically as an architect. 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.

Your day-to-day will focus on :

• Architect end-to-end AI and generative AI platforms, covering data ingestion, modeling, deployment, monitoring, and governance.
• Provide guidance and best practices for model development, MLOps workflows, and infrastructure automation.
• Design secure, cost-effective deployments on public cloud providers (Azure, AWS, or GCP), leveraging native AI / ML services as appropriate.
• Define and maintain IaC pipelines (e.g., 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.) to support scalable inference.
• 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.

Why would we like to meet you?

We'd love to meet you if :

We value knowledge in :

What do we offer?

At NTT DATA, we offer :

Interested?

If you're ready to shape the future of generative AI with us, apply today!

Because #Greattech, needs #GreatPeople, like you.