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Tier-1 brand and Bangalore metro increase applicant density despite niche senior ML expertise.
Specialized ML/AI product architecture experience limits cross-industry transferability.
Explicit 10–15 years plus mandatory GenAI, MLOps, and architecture skills create highly stringent filters.
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Own the technical architecture for the Data & AI product portfolio, focusing on reuse, configurability, and multi-tenancy design.
Lead AI and GenAI solution architecture decisions including model selection, retrieval design, and technical debt management.
Design and oversee MLOps/LLMOps infrastructure, evaluation frameworks, observability, cost models, and embed Responsible AI and governance standards.
10–15 years of experience in software/ML engineering and architecture with proven AI solution production deployments.
Strong expertise in GenAI architectures such as LLMs, Retrieval-Augmented Generation (RAG), agentic orchestration frameworks.
Experience with MLOps/LLMOps, model serving, observability, evaluation design, cost optimization, and multi-tenancy product architecture.
Bachelor's degree in Engineering, Technology, MCA, PhD or equivalent.
Senior architect-level professional with deep experience in commercial AI product architecture and productionizing prototypes at scale.
Technically strong in linking architectural decisions to business outcomes like unit economics, profitability, and time-to-market.
Experienced in leading product teams on architecture compliance, technical readiness assessments, and AI governance embedding.