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Senior, niche GenAI skills reduce pool but metro location and known employer keep competition medium.
Role requires deep GenAI architecture, LLM/RAG, and enterprise governance, making background fit highly domain-specific.
Explicit 11+ years, mandated GenAI, cloud, security, and leadership experience create high filtering strictness.
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Own architecture and technical vision for AI-powered applications using Python, React, and Generative AI.
Design scalable, secure backend platforms for LLM inference, RAG pipelines, and agent orchestration.
Lead implementation of complex GenAI workflows integrating multiple AI technologies and establish engineering standards and reusable GenAI components.
11+ years total experience with 10+ years in software engineering and strong Python expertise.
Proven experience architecting and delivering production-grade Generative AI applications at scale.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed systems.
Bachelor’s or master’s degree in CS, IT, or related field.
Experienced in defining technical strategy and influencing architecture across multiple teams or pods.
Strong system design skills across backend, frontend, and AI infrastructure layers.
Ability to translate ambiguous business requirements into durable technical architectures with enterprise security, privacy, and governance awareness.