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AI Architects at NTT DATA

Badli, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Architecture, GenAI, LLM, MLOps, Data Engineering, Cloud Expertise, Stakeholder Management, Communication, Leadership, Azure, GCP, AWS, RFPs, Proposals, Data Science, Solutioning

Industry

IT Services and IT Consulting

Description

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 Delivered at least 3 enterprise-grade AI/GenAI solution architectures Contributed to winning RFPs/proposals Contributed to Reference Architectures 15+ 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) Exposure to regulatory-compliant AI systems in BFSI, Healthcare, Manufacturing, Public Sector etc. will have added advantage Experience: 15+ 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

Responsibilities

Architect and deliver GenAI, LLM, and agentic AI solutions while designing enterprise-level scalable AI-ready architectures. Lead proposals, estimations, and RFP/RFI responses, partnering with clients as a trusted AI advisor for transformation roadmaps.