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Remote senior GenAI architect with niche skills reduces applicant pool; moderate competition from experienced candidates.
Requires deep GenAI, vector DB, cloud and enterprise architecture expertise, limiting cross-industry transferability.
Explicit 9+ years plus strict GenAI, cloud, architecture, vector DBs, and leadership requirements.
Own architecture and technical vision for AI-powered applications involving Python, React, and Generative AI components.
Design scalable, secure backend platforms for LLM inference, RAG pipelines, and agent orchestration, including frontend architectures for AI-native applications.
Lead design and implementation of complex GenAI workflows and platform components while ensuring enterprise readiness including security and responsible AI practices.
9+ years of total experience with strong software engineering skills, especially in Python.
Proven experience in architecting and delivering production-grade Generative AI applications at scale, including microservices and API development (Python, FastAPI, Node.js).
Hands-on experience with cloud platforms (AWS, Azure, or GCP), building AI pipelines, integrating Vector databases, and deploying secure production-grade AI solutions.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Experienced in enterprise architecture and solution design for AI and ML, capable of translating ambiguous business problems into scalable technical architectures.
Track record of leading cross-functional teams, mentoring engineers, and partnering with product leaders to define technical strategy for AI initiatives.
Skilled in maintaining technical standards, reviewing complex designs, and ensuring compliance with AI governance, security, and privacy policies.