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Senior, niche Agentic AI role reduces competition but Bangalore metro increases applicant density.
Highly specialized Agentic AI and enterprise integration skills limit cross-industry transferability.
Explicit 12+ years and specialized Generative AI, LLM, multi-agent, and cloud architecture requirements.
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Define and lead enterprise Agentic AI architecture including platform patterns, governance, security, and multi-agent design for scalable AI solutions.
Architect modular AI agent frameworks leveraging LLMs and foundation models, including design of orchestration, lifecycle management, and integration with enterprise systems.
Lead AI modernization initiatives through technical leadership, architecture reviews, mentorship, and driving proof-of-concepts into production across cloud platforms (Azure, AWS, Google Cloud).
12–18+ years of experience in Software Engineering, AI/ML, Cloud Architecture, or Enterprise Solution Architecture.
At least 3–5 years designing and implementing Generative AI solutions or AI/ML architecture.
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
Experience with LLMs, Agentic AI, multi-agent systems, Retrieval-Augmented Generation (RAG), and cloud-based AI platform architecture.
Experienced senior architect capable of defining enterprise-wide Agentic AI technology roadmaps and scalable multi-agent AI frameworks.
Strong engineering and architectural background with hands-on skills in Generative AI, cloud AI platforms, and enterprise integration.
Strategic leader who can mentor teams, lead technical design sessions, and collaborate with business leaders to drive AI transformation and modernization.