Senior GenAI Engineers

AI Architect

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 part of NTT Group, which invests over $3 billion each year in R&D.

Location: Any Location | Experience: 13+ years (5+ in AIML & GenAI Architecture)

Role Overview

We are seeking a seasoned AIML/GenAI Architect with 13+ years of total experience, including 5+ years of relevant expertise in AI/ML, Data Science, and GenAI architectures  This role demands a proven background in technical architecture design, Hyperscaler solutions (Azure, GCP, AWS), and end-to-end delivery of AI-driven platforms and agentic solutions  The candidate will play a pivotal role in solution architecture & design, proposal creation, estimations, and client engagement across large-scale AI transformation programs

Key Responsibilities

• Architect and deliver GenAI, LLM, and agentic AI solutions
• Excellent understanding of Agentic Frameworks, MLOps, LLMOps
• Design enterprise-level scalable AI-ready architectures
• Lead proposals, estimations, and RFP/RFI responses
• Partner with clients as a trusted AI advisor for transformation roadmaps
• Exposure to data engineering pipelines
• Build reference architectures and reusable GenAI frameworks

Qualifications

• 13+ years IT experience; 5+ years in AI/ML/GenAI architecture
• Strong data science, MLOps, and solutioning background
• Deep expertise with Azure (priority), GCP, AWS
• Proven client-facing skills: RFPs, proposals, and stakeholder management
• Certifications in Azure AI / GCP ML / AWS ML (preferred)

 

Required Skills & Qualifications

• Experience: 13+ years overall IT experience with 5+ years as an AI/ML architect
• Technical Background:
• Strong foundation in data science, ML model lifecycle, and MLOps
• Proven expertise in GenAI / LLM / Agentic architecture design
• Good understanding of data engineering pipelines
• Cloud Expertise: Hands-on architecture experience with at least one of the major Hyperscalers such as Azure, GCP, AWS
• Experience of working on Databricks, Snowflake, Palantir etc. is added advantage
• Client-Facing Skills: Proven track record in RFPs, proposals, and estimation for AI programs
• Soft Skills: Excellent stakeholder management, communication, and leadership abilities

Preferred Qualifications

• Certifications in Azure AI Architect / GCP ML Engineer / AWS Machine Learning Specialty
• Experience with enterprise-scale GenAI deployments (e g , copilots, chatbots, autonomous agents)
• Exposure to regulatory-compliant AI systems in BFSI, Healthcare, Manufacturing, Public Sector etc. will have added advantage

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 part of NTT Group, which invests over $3 billion each year in R&D.

Experience Level

Senior Level