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Metro location and mid-level experience increase applicant competition, but role's GenAI specialization tempers it.
Role requires specialized AI/GenAI architecture expertise, limiting cross-industry transfer without ML architecture background.
Explicit years, mandatory architecture and GenAI experience, and extensive tech stack create strict shortlisting.
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Lead design, architecture, and delivery of enterprise-scale AI/GenAI platforms and applications using technologies like LLMs, RAG, and Agentic AI.
Define AI architecture standards, governance frameworks, and ensure secure, scalable AI platform deployment on AWS, Azure, or hybrid cloud.
Collaborate with stakeholders to translate business needs into AI solutions, mentor teams, and advise leadership on AI strategy and enterprise transformation.
Up to 12 years of technology experience with at least 5 years in solution/enterprise architecture and 2 years architecting production AI/GenAI solutions.
Bachelor’s degree in computer science, engineering, or related field.
Mandatory skills include AI/GenAI architecture (LLMs, RAG, Agentic AI), AI platforms (LangChain, LangGraph, etc.), AI engineering practices, cloud technologies (AWS, Azure), microservices, integration tools, security and governance.
Strong stakeholder management, architecture governance, and technical leadership experience.
Experienced in building and modernizing enterprise-scale AI platforms with hands-on expertise across cloud, AI services, and secure, scalable architecture.
Comfortable leading cross-functional teams and driving AI adoption initiatives aligned with business strategy and governance.
Strategic thinker who evaluates emerging AI technologies and recommends investments with a technical leadership focus in complex enterprise environments.