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Senior, niche AI-platform role in Bangalore reduces applicant pool despite metro location and mid-tier company presence.
Highly specialized enterprise AI platform architecture and regulated-integration experience make cross-industry transitions difficult.
Explicit 12+ years, mandatory enterprise AI/platform architecture experience and governance requirements create highly selective shortlisting.
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Design and lead the enterprise-wide AI platform architecture including LLM pipelines, RAG systems, and agentic workflows to enable scalable AI-powered products and intelligent workflows.
Lead end-to-end solution architecture from concept to implementation, including hybrid/multi-cloud infrastructure management and DevSecOps practices for secure, scalable AI platforms.
Provide senior-level advisory on architecture decisions, drive vendor selection, and mentor engineering teams to execute AI platform designs successfully.
12+ years of experience in software engineering, AI/ML systems, or platform architecture with a focus on Generative AI.
Proven experience as a Senior Principal / Enterprise Technical Architect within large engineering organizations.
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field.
Experience with cloud platforms (AWS, Azure, GCP), hybrid/on-prem infrastructure, AI platforms, and enterprise system integration.
Strong mix of strategic thinking and hands-on experience delivering large-scale AI, data, and cloud transformation programs in complex, regulated environments.
Experience balancing innovation, governance, operational stability, and compliance within enterprise AI platform designs.
Ability to influence senior stakeholders and lead cross-functional engineering and architecture teams for enterprise-wide AI adoption.