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Niche, senior agentic AI specialization reduces applicant density despite Bengaluru metro location.
Deep Agentic AI and enterprise integration expertise required, limiting cross-industry transferability.
Multiple explicit seniority levels and specialized LLM, MLOps, and enterprise integration requirements.
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Define and lead enterprise Agentic AI architecture, including platform patterns, integration, governance, and security ensuring production readiness.
Design scalable autonomous multi-agent AI systems and develop architectures leveraging Large Language Models and Generative AI technologies.
Architect and implement AI platforms on cloud (Azure, AWS, GCP), integrating AI agents with enterprise systems, and establish Responsible AI governance and compliance frameworks.
12–18+ years experience in Software Engineering, AI/ML, Cloud Architecture, or Enterprise Solution Architecture.
Minimum 3–5 years experience designing and implementing Generative AI solutions.
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
5+ years experience specifically in AI/ML or Generative AI architecture.
Experienced in leading architecture definition and enterprise-wide AI modernization initiatives involving multi-agent systems and LLMs.
Skilled in designing scalable, modular AI frameworks with strong platform engineering expertise on major cloud providers and enterprise application integration.
Demonstrated ability to establish AI governance, security controls, and deploy Responsible AI practices in compliance with enterprise standards.