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Specialized AI-platform role but metro locations and established employer create moderate competition.
Requires deep AI platform, cloud, and regulated-industry experience making cross-industry fit difficult.
Explicit multi-year AI platform, cloud-native, and tooling requirements enforce high shortlisting strictness.
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Lead architecture and technical design for Guardian's enterprise AI Platform across Experience, Control, and Execution Planes.
Define platform standards and build reusable AI platform capabilities, driving enterprise adoption of AI and Agentic technologies.
Solve complex engineering challenges and support production operations for AI platform components including AI governance, policy enforcement, runtimes, and orchestration frameworks.
Minimum 7+ years of AI Platform Engineering experience.
At least 3+ years experience designing cloud-native distributed platforms.
At least 3+ years experience architecting AI/ML or GenAI platforms.
Location: Chennai or Gurgaon (candidate can be based in either location).
Hands-on technical architect with proven experience building enterprise-grade AI platform capabilities and Control Plane architectures.
Experience supporting production GenAI workloads and AI platforms in regulated industries is preferred.
Strong familiarity with AWS ecosystem, Kubernetes, serverless architectures, infrastructure as code, and AI platform tools such as AWS Bedrock, vector databases, and observability tools.