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Tier-1 brand and metro location increase applicant density despite niche GenAI specialization.
Specialized GenAI, agentic AI and enterprise AI platform skills limit cross-industry transferability.
8+ years plus extensive mandatory LLM, platform, governance, and architecture expertise makes shortlisting strict.
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Lead design and implementation of enterprise-scale Generative AI and Agentic AI solutions, defining AI architecture, governance, and platform capabilities.
Develop and operationalize foundation models, Retrieval-Augmented Generation (RAG) systems, multi-agent AI architectures, and AI platforms integrating multiple model providers.
Drive AI observability, quality metrics, responsible AI governance, cost optimization, and provide technical leadership and stakeholder collaboration across enterprise AI initiatives.
Bachelor's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or related field.
8+ years of experience in AI, Machine Learning, Data Science, Software Engineering, or AI Platform Engineering.
Proven experience delivering enterprise-scale Generative AI, LLM, and Agentic AI solutions in production environments.
Hands-on experience with foundation models, RAG architectures, AI platform engineering, cloud-based AI platforms, and solid programming skills in Python.
Expertise in foundation models, multi-modal AI architectures, retrieval systems, and agentic AI orchestration frameworks indicating senior technical leadership capability.
Experience building scalable, governed enterprise AI platforms and reusable AI frameworks within regulated or complex environments.
Demonstrated ability to lead cross-functional collaboration, mentor technical teams, and translate cutting-edge AI research into production-ready solutions.