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Chief AI Architect

India, Noida · Job Posted May 09, 2026
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Job Description

We are currently seeking a Chief Architect to join our team in Noida, Haryāna (IN-HR), India (IN). Chief AI Architect 15+ Years Experience Defines and governs the overall AI/ML platform architecture, ensuring scalability, security, openness, and long-term sustainability for India market and/or Fortune 100-scale enterprise deployments.

Job Responsibility

  • Platform Architecture Design: Own end-to-end AI/ML platform architecture across data ingestion, processing, ML training, inference, MLOps, and GenAI layers. Design for 1000+ concurrent users and PB-scale data
  • Reference Architecture Development: Define comprehensive reference architectures for datasets, models, feature stores, model registries, metadata management, orchestration, and AI services
  • Technology Selection: Evaluate and recommend technologies, frameworks, and tools. Ensure cloud-neutral, open-standards-based design supporting on-prem, cloud, and hybrid deployments
  • GenAI & Advanced AI: Guide architectural decisions for GenAI, LLM fine-tuning, RAG (Retrieval Augmented Generation), vector databases, intelligent search, and conversational AI
  • MLOps & Model Lifecycle: Design CI/CD pipelines for ML models, A/B testing frameworks, model monitoring, drift detection, and automated retraining mechanisms
  • Security & Compliance: Ensure alignment with security, compliance, data sovereignty, and regulatory requirements (GDPR, data localization, etc.). Design for zero-trust architecture
  • Data Architecture: Design data lake, lakehouse, and data mesh architectures. Define data governance, lineage, quality, and metadata management frameworks
  • Integration & APIs: Design API strategies, microservices architecture, event-driven patterns, and integration with enterprise systems (ERP, CRM, etc.)
  • Performance & Scalability: Architect for high availability (99.9%+), low latency
  • Technical Leadership: Provide architectural oversight and technical assurance throughout delivery. Conduct architecture reviews, design sessions, and POCs
  • Innovation & Best Practices: Stay current with emerging AI/ML technologies, research papers, and industry trends. Establish architectural standards and best practices

Requirements

  • Bachelor's/Master's degree in Computer Science, AI/ML, or related field
  • PhD preferred
  • Cloud architecture certifications (AWS Solutions Architect Professional, Azure Solutions Architect Expert, GCP Professional Cloud Architect)
  • 15+ years in software/platform architecture with 8+ years specializing in AI/ML systems
  • Proven experience architecting 3+ large-scale AI/ML platforms serving 1000+ users

Nice to have

Published papers, patents, or open-source contributions in AI/ML domain

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