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Niche senior GenAI architect role reduces applicant density despite remote work.
Highly specialized GenAI architecture skills limit cross-industry transferability.
Explicit 9+ years and mandatory GenAI, cloud, and architecture requirements increase filtering.
Own the architecture and technical vision for scalable, secure AI-powered applications involving Python, React, and Generative AI technologies.
Design and implement complex GenAI workflows combining LLMs, tools, APIs, and data, ensuring enterprise readiness for security, privacy, compliance, and governance.
Lead cross-functional technical discovery, review, mentoring, and drive best practices to establish reusable GenAI platform components and accelerate production-grade AI delivery.
Total work experience of 9+ years in software engineering with strong proficiency in Python.
Proven experience in architecting and delivering production-grade Generative AI applications at scale, including microservices/API development (Python, FastAPI, Node.js).
Bachelor’s or master’s degree in computer science, IT, or a related field.
Hands-on experience with cloud platforms (AWS, Azure, or GCP), distributed systems, and AI infrastructure including deployment and CI/CD.
Experienced in end-to-end AI solution architecture including ML, LLMs, RAG, autonomous agents, Vector databases, and multi-cloud AI platform design.
Comfortable translating ambiguous business requirements into robust, secure technical architectures and influencing senior stakeholders.
Demonstrated leadership in defining technical strategy, mentoring engineers, and driving agile workflows in enterprise AI projects.