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Urgent! AI Platform Architect Job Opening In Pune – Now Hiring Confidential

AI Platform Architect



Job description

Roles & Responsibilities

  • Define and maintain the reference architecture for an enterprise AI/ML platform, including data pipelines, model training, CI/CD, and observability.
  • Build reusable platform services like model registries, training environments, orchestration frameworks, and experiment tracking systems.
  • Develop self-service interfaces (API/CLI/UI) for scalable, secure platform consumption by engineering teams.
  • Collaborate across AI/ML teams, enterprise architects, and product engineering to ensure platform integration and adoption.
  • Design deployment strategies for cloud, internal APIs, dashboards, and embedded edge systems.
  • Implement governance and technical standards for lifecycle management, performance, and reusability.
  • Serve as a technical leader, contributing to platform strategy, roadmap, and architecture best practices.

Key Skills Required

  • 10+ years in Software / ML Platform / Infrastructure Engineering
  • 3+ years in AI Platform or MLOps Architecture roles
  • Strong hands-on experience with GCP cloud-native tools: Vertex AI, GKE, Cloud Run, Artifact Registry, Pub/Sub
  • Experience with CI/CD for ML (e.g., GitHub Actions, Kubeflow, Terraform)
  • Strong skills in Kubernetes, Docker, and secure container management
  • Deep understanding of model lifecycle management (training, versioning, deployment, monitoring)
  • Familiarity with tools like Airflowfeature stores, dataset management
  • Excellent architectural and system design capabilities
  • Proven ability to work across multiple teams and influence technical decisions


Skills Required
Gcp, Aws, Airflow, Jenkins


Required Skill Profession

Computer Occupations



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