Back
Metro locations and broad platform requirements increase applicant density, but niche AI platform skills limit competition.
Specialized AI platform, LLMOps, and regulated-industry expectations create strong domain-specific hiring bias.
Multiple explicit experience and platform architecture requirements make hiring filters very strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead architecture, design, and evolution of Guardian's enterprise AI Platform across Experience, Control, and Execution Planes.
Define platform standards and build reusable AI platform capabilities to solve complex engineering challenges.
Drive enterprise adoption of AI and Agentic technologies through technical leadership and hands-on engineering.
7+ years of AI Platform Engineering experience.
3+ years experience designing cloud-native distributed platforms.
3+ years experience architecting AI/ML or Generative AI platforms.
Work Experience Required: 7+ years; Onsite Location: Chennai or Gurgaon (location can be any of these).
Experienced architect with proven ability to build enterprise-grade AI platform capabilities.
Deep knowledge in Control Plane architectures and AI governance at enterprise scale.
Demonstrated support of production GenAI workloads and experience in regulated industries.