Req ID: 371624
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Industry Consulting Manager to join our team in Pune, Mahārāshtra (IN-MH), India (IN).
AI Architect — Job Description
Position Title
AI Architect
Experience Required
20–25 years of overall IT experience, with significant expertise in Artificial Intelligence, Enterprise Architecture, Data Platforms, and Solution Engineering.
Role Summary
We are seeking a highly experienced and hands-on AI Architect to lead enterprise AI initiatives from strategy and architecture through implementation and deployment. The ideal candidate will drive the end-to-end design and build of scalable AI/ML systems, establish enterprise AI standards, and work closely with business, engineering, data, and cloud teams to deliver production-grade AI solutions.
This role requires a strong combination of strategic leadership, technical depth, and execution capability across modern AI ecosystems including Generative AI, Machine Learning, Data Engineering, Cloud Platforms, MLOps, and Enterprise Integration.
Key Responsibilities
AI Strategy & Architecture
- Define and lead enterprise AI architecture strategy aligned with business objectives.
- Design scalable, secure, and high-performance AI/ML platforms and solutions.
- Architect end-to-end AI ecosystems including data ingestion, model training, deployment, monitoring, and governance.
- Evaluate emerging AI technologies, frameworks, and platforms for enterprise adoption.
- Establish AI reference architectures, design standards, and best practices.
Solution Design & Delivery
- Lead hands-on solution architecture and technical implementation of AI initiatives.
- Design and develop enterprise-grade AI/ML and Generative AI applications.
- Collaborate with engineering teams to build scalable APIs, microservices, and AI-enabled platforms.
- Drive integration of AI solutions with enterprise systems, cloud infrastructure, and data platforms.
- Ensure scalability, reliability, security, and compliance of AI systems.
Leadership & Stakeholder Management
- Partner with business leaders, product teams, and executives to identify AI opportunities.
- Lead cross-functional technical teams including data scientists, ML engineers, software developers, and cloud architects.
- Mentor engineering and architecture teams on AI architecture patterns and implementation approaches.
- Provide technical governance and architectural oversight across AI programs.
AI Operations & Governance
- Establish MLOps/LLMOps practices for continuous integration, deployment, monitoring, and retraining.
- Define responsible AI frameworks including model governance, explainability, fairness, and security.
- Drive AI platform optimization, performance tuning, and operational excellence.
- Ensure adherence to enterprise security, privacy, and regulatory standards.
Required Skills & Expertise
Technical Skills
- Deep expertise in AI/ML architecture, Generative AI, NLP, and Large Language Models (LLMs).
- Strong experience with AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar.
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of data engineering, big data technologies, and distributed systems.
- Experience with vector databases, RAG architectures, AI agents, and prompt engineering.
- Expertise in MLOps/LLMOps tools and CI/CD pipelines.
- Strong programming skills in Python, Java, or Scala.
- Experience with Kubernetes, Docker, APIs, and microservices architecture.
- Knowledge of enterprise integration patterns and security architecture.
Leadership Skills
- Proven ability to lead large-scale enterprise transformation programs.
- Strong stakeholder communication and executive presentation skills.
- Experience managing architecture governance and technical decision-making.
- Ability to translate business problems into scalable AI solutions.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field.
- 20–25 years of IT industry experience with significant exposure to enterprise architecture and AI transformation.
- Proven track record of delivering large-scale AI/ML implementations in enterprise environments.
- Certifications in Cloud, AI, or Enterprise Architecture are preferred.
Preferred Experience
- Experience in Generative AI and enterprise LLM implementations.
- Exposure to AI governance, responsible AI, and regulatory compliance frameworks.
- Experience across industries such as Banking, Healthcare, Retail, Manufacturing, or Telecom.
- Familiarity with Agile, DevOps, and product-led delivery models.
Key Competencies
- Strategic Thinking
- Enterprise Architecture
- AI Solution Design
- Technical Leadership
- Innovation & Problem Solving
- Stakeholder Management
- Delivery Excellence
- Hands-on Engineering Capability
About 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 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
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