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Metro-based senior GenAI architect role with strong skill demands and known employer, leading to medium competition.
Specialized GenAI, LLM, vector DB and enterprise AI architecture needs make background fit highly sensitive.
Explicit 9+ years, deep GenAI, LLM, vector DB, cloud and architecture requirements make shortlisting highly strict.
Own architecture and technical vision for AI-powered applications involving Python, React, and Generative AI.
Design and implement scalable backend platforms for LLM inference, RAG pipelines, and agent-based orchestration with a focus on security, cost-efficiency, and production readiness.
Lead GenAI workflows and platformization including building reusable components, defining engineering standards, and partnering with product and business leaders to deliver scalable technical solutions.
9+ years of total professional experience in software engineering.
Strong proficiency in Python and experience developing microservices and APIs using Python, FastAPI, or Node.js.
Proven experience architecting and deploying production-grade Generative AI applications and scalable AI/ML solutions on cloud platforms (AWS, GCP, Azure).
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Experienced in enterprise architecture and solution design with the ability to translate ambiguous business problems into scalable technical architectures.
Demonstrated leadership in mentoring engineers, driving agile workflows, and influencing senior technical and business stakeholders.
Strong system design skills across backend, frontend, and AI infrastructure layers with hands-on experience integrating advanced AI technologies such as LLMs, RAG, autonomous agents, and vector databases.