AI Platform Architect

Job Title:

Location:

AI Platform Architect

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