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Senior, niche GenAI architect in Bangalore reduces competition despite consultancy brand.
Highly domain-specific GenAI, LLM, and enterprise AI governance skills limit cross-industry transferability.
Explicit 11+ years, deep LLM, cloud, security, and architecture requirements make shortlisting highly strict.
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Own architecture and technical vision for AI-powered user-facing applications using Python, React, and Generative AI.
Design scalable, secure backend platforms for LLM inference, RAG pipelines, and agent orchestration, plus frontend UX patterns for AI-native apps.
Lead complex GenAI workflow design, establish engineering standards, and drive platformization with reusable components and frameworks.
Total experience: 11+ years; 10+ years in software engineering with strong Python expertise.
Proven experience architecting and delivering production-grade Generative AI applications at scale.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Strong system design skills across backend, frontend, and AI infrastructure layers with ability to translate ambiguous business problems into technical architectures.
Experienced in defining technical strategy, influencing cross-team architectures, and reviewing complex designs and code.
Understands enterprise security, privacy, compliance, AI governance, and can lead client/executive-facing technical discovery and workshops.