Supports the design and implementation of AI and cloud solutions, including chatbots, copilots, RAG systems, AI agents, cloud migrations, integrations, security, and governance. Assists senior architects with customer workshops, technical discovery, pre-sales activities, proof-of-concepts, demonstrations, proposals, documentation, and solution transitions. The role requires foundational cloud, AI, networking, security, programming, and DevOps knowledge, with opportunities to develop expertise in emerging technologies.
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
Your day at NTT DATA
As an Associate Cloud Technical Architect at NTT DATA, you will have the opportunity to learn and grow in the exciting world of cloud computing. You will assist in the design and implementation of cloud-based solutions that meet the business and technical needs of our clients. Your journey will involve collaborating with stakeholders to understand their requirements and translating these into scalable, secure, and cost-effective cloud solutions.
As an Associate Cloud Technical Architect at NTT DATA, you will have the opportunity to learn and grow in the exciting world of cloud computing. You will assist in the design and implementation of cloud-based solutions that meet the business and technical needs of our clients. Your journey will involve collaborating with stakeholders to understand their requirements and translating these into scalable, secure, and cost-effective cloud solutions.
Key Responsibilities
- Collaborates with stakeholders to understand business requirements and assists in translating them into scalable, secure, and cost-effective AI and cloud solutions.
- Supports senior architects in customer discovery workshops, solution design sessions, and technical engagements.
- Assists in the design of cloud-native and AI-powered solutions that align with customer business objectives.
- Participates in the development of AI assistants, chatbots, copilots, Retrieval-Augmented Generation (RAG) solutions, and agentic AI applications.
- Supports the evaluation, selection, and implementation of foundation models and AI services to address customer requirements.
- Provides pre-sales technical support by helping analyse client requirements and recommending suitable technology solutions.
- Contributes to cloud assessments, application modernisation initiatives, and migration planning activities.
- Assists with the design of integration solutions that enable seamless data flow between cloud platforms, AI services, enterprise applications, and on-premises environments.
- Supports the implementation of cloud security, AI governance, and compliance best practices.
- Assists in building and delivering customer proof-of-concepts (POCs), demonstrations, and pilot solutions.
- Develops technical design documentation, architecture diagrams, implementation plans, and customer-facing technical content.
- Participates in responses to RFPs, RFIs, and technical proposals.
- Supports customer presentations, workshops, demonstrations, and solution reviews.
- Assists in transitioning proposed solutions to implementation and delivery teams.
- Collaborates with internal stakeholders to support customer success and business growth initiatives.
- Maintains awareness of emerging AI, cloud, and industry technology trends and continuously develops technical expertise.
- Displays strong communication and customer engagement skills coupled with technical consulting aptitude.
- Demonstrates curiosity, innovation, and a passion for continuous learning.
- Ability to collaborate effectively with technical and non-technical stakeholders.
- Understanding of cloud computing concepts and modern cloud architectures.
- Knowledge of cloud architecture patterns including microservices, containers, serverless computing, and hybrid cloud deployments.
- Understanding of Generative AI concepts, Large Language Models (LLMs), and enterprise AI use cases.
- Familiarity with open-source and commercial foundation models such as: Qwen Llama Mistral Gemma DeepSeek OpenAI Models Anthropic Claude
- Understanding of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI agents.
- Familiarity with AI development frameworks and tools such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
- Understanding of cloud security principles, including identity and access management, encryption, governance, and compliance.
- Familiarity with Infrastructure as Code (IaC) technologies such as Terraform, Azure Bicep, AWS CloudFormation, or similar tools.
- Knowledge of cloud platforms including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
- Understanding of cloud networking concepts including virtual networks, subnets, routing, VPN connectivity, load balancing, and firewall configurations.
- Knowledge of cloud storage, compute, monitoring, and database services.
- Familiarity with DevOps practices including CI/CD, automation, and source control management.
- Understanding of APIs, integration technologies, messaging platforms, and modern application architectures.
- Awareness of responsible AI, AI governance, security, privacy, and compliance principles.
- Familiarity with programming and scripting languages such as Python.
- Awareness of containerisation technologies such as Docker and orchestration platforms such as Kubernetes.
- Bachelor's degree or equivalent qualification in Computer Science, Information Technology, Engineering, Artificial Intelligence, Data Science, Software Engineering, or a related field.
Cloud Certifications
- AWS Certified Cloud Practitioner
- AWS Certified Solutions Architect – Associate
- Microsoft Azure Fundamentals (AZ-900)
- Microsoft Azure Administrator Associate (AZ-104)
- Google Cloud Digital Leader
AI Certifications
- Microsoft Azure AI Fundamentals (AI-900)
- Microsoft Azure AI Engineer Associate (AI-102)
- AWS Certified AI Practitioner
- Google Generative AI or equivalent Artificial Intelligence certification
- 0-2 years of professional experience within a technology services, software engineering, cloud, AI, technical consulting, infrastructure, or related technology environment.
- Demonstrated interest in Artificial Intelligence, cloud technologies, and emerging technologies.
- Exposure to cloud platforms through internships, university projects, personal projects, labs, certifications, or professional experience.
- Foundational understanding of cloud infrastructure, networking, storage, security, and application services.
- Experience participating in technical projects individually or as part of a team.
- Basic experience creating technical documentation, diagrams, presentations, or solution artefacts.
- Familiarity with software development concepts, APIs, automation, scripting, or programming.
- Experience building AI-powered applications, AI assistants, copilots, chatbots, or intelligent automation solutions.
- Experience working with open-source LLMs such as Qwen, Llama, Mistral, Gemma, DeepSeek, or similar models.
- Experience developing Retrieval-Augmented Generation (RAG) solutions.
- Familiarity with vector databases, embeddings, and AI orchestration frameworks.
- Experience using Azure AI Foundry, Azure OpenAI, AWS Bedrock, Amazon SageMaker, Google Vertex AI, Ollama, vLLM, or similar AI platforms.
- Exposure to cloud-native application development and modern application architectures.
- Participation in hackathons, technical communities, open-source projects, or innovation initiatives.
- GitHub portfolio showcasing AI, cloud, software development, or automation projects.
Workplace type:
Hybrid WorkingAbout NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune
Global 100. We are committed to accelerating client success and positively impacting society through
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
application services. Our consulting and industry solutions help organizations and society move
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
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