AI Architects
NTT DATA BUSINESS SOLUTIONS · Bengaluru · onsite · Posted 50d ago
Undisclosed13–18 yrsfulltimeSourced from
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About this role
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.
Location Bangalore, Karnataka, India
Experience Experience: 13+ years total with 5+ years in AIML GenAI Architecture
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
- 13+ years IT experience; 5+ years in AI/ML/GenAI architecture
- Demonstrate strong knowledge of Insurance capabilities across PC, life, health and reinsurance value chains, from quote, bind and policy issuance through claims and servicing, and use this knowledge to shape capability maps and target-state architectures.
- Advise on insurance transformation initiatives, including core platform modernization, digital journeys, data and analytics platforms, automation, cloud migration and enterprise AI adoptio
- 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)
- 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
- 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
Sourced from naukri
Skills
AutomationAzure Aigoogle cloud platformamazon web servicesanalytics platformsLLMOpsbfsiClient SuccessAnalyticsBankingLarge Language Models (LLMs)bindDatabricksData EngineeringHealthcarecloudCloud MigrationArchitectureAi SolutionsMicrosoft AzureData ScienceArtificial IntelligenceMachine Learning
About NTT DATA Business Solutions
NTT DATA BUSINESS SOLUTIONS
IT Services & Consulting
4k+
employees
1989
37 years old
Hyderabad / Secunderabad, Telangana
India
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NTT DATA Business Solutions helps clients innovate and transform through expert SAP solutions, advisory, implementation, and managed services.
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