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Tier-1 brand and metro location increase competition, but specialized GenAI agent skills curb applicant density.
Requires deep GenAI/agentic expertise and compliance domain knowledge, limiting transferable candidate pools.
Explicit 10-12 years overall and 2.5 years production GenAI plus compliance needs make filtering strict.
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Architect and lead development of production-grade Generative AI and complex Agentic solutions with focus on scalability, compliance, and performance.
Define technical strategy and make key architectural decisions for AI projects, including agent training and feedback mechanisms.
Mentor and lead junior/intermediate engineers and data scientists, oversee Agile project management and deliverables.
Ensure adherence to compliance, security, and performance standards, and handle risk assessment related to AI initiatives.
10-12 years overall experience with at least 2.5 years in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
Expert-level knowledge of Agentic solution design including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
Strong experience with scalable, high-availability technology architectures and program/project management using Agile methodologies.
Experience with compliance, security, and performance management in production environments; SAS, SQL, Tableau skills are a plus.
Senior technical leader capable of making autonomous, high-impact decisions in AI architecture and project execution.
Proven mentor who can develop junior talent in advanced AI and software engineering practices.
Experienced in managing complex AI initiatives within compliance-heavy, production-grade operational environments.