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Niche senior GenAI role with 11+ years reduces competition despite remote work.
Specialized enterprise GenAI architecture skills limit transferability across industries.
Explicit 11+ years and mandatory deep GenAI, Python, cloud, and security skills enforce strict filters.
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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 supporting LLM inference, retrieval augmented generation (RAG) pipelines, and agent orchestration.
Lead implementation of complex GenAI workflows, establish engineering standards, and drive platform components reused across teams.
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, or GCP), distributed systems, and strong system design skills.
Bachelor’s or master’s degree in Computer Science, IT, or related field.
Experienced in defining technical strategy and influencing architecture across teams or pods in AI-focused environments.
Strong capability in translating ambiguous business problems into durable, scalable technical architectures for enterprise AI systems.
Demonstrated leadership in ensuring enterprise readiness including security, privacy, compliance, governance, and responsible AI practices.