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Metro role with broad platform and AI skills but niche AI-platform focus limits applicant pool.
Strong AI-platform and cloud-native platform requirements increase domain specificity and reduce industry transferability.
Explicit 7+ years plus mandatory cloud, Kubernetes, IaC, and AI-platform technologies creates high filtering strictness.
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Provide architecture leadership and define platform standards across AI platform stack including Experience Plane, Control Plane, and Execution Plane.
Design, build, and evolve enterprise-grade AI platform capabilities targeting scalable AI developer experience, governance, and production operations.
Drive enterprise adoption of AI and Agentic technologies by solving complex engineering challenges and delivering reusable platform assets.
7+ years of AI Platform Engineering experience.
3+ years of experience designing cloud-native distributed platforms.
3+ years architecting AI/ML or GenAI platforms.
Location requirement: Based in Chennai or Gurgaon (India).
Hands-on architect with expertise in building enterprise-scale AI/ML or GenAI platforms, including Control Plane and governance capabilities.
Experienced in cloud-native platform engineering with skills in AWS, Kubernetes, Serverless, Infrastructure as Code (Terraform), and CI/CD.
Familiar with observability and operational tooling relevant to AI platforms (e.g. Splunk, CloudWatch, OpenTelemetry) and supporting production GenAI workloads.