8.0 - 13.0 years

25 - 40 Lacs

pune

Hybrid

Job Title: AI Platform Architect Location: Pune (Hybrid) Experience Required: 10+ Years Functional Area: IT Software AI/ML, Architecture & Platform Engineering Education: B.Tech/B.E. in CS/IT or related field; Masters degree preferred Job Description We are hiring an experienced AI Platform Architect to lead the design and evolution of its AI/ML platform. The role focuses on enabling AI delivery at scale across cloud and edge, driving efficiency, security, and agility throughout the ML lifecycle. 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 Airflow , feature stores , dataset management Excellent architectural and system design capabilities Proven ability to work across multiple teams and influence technical decisions

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