
Enterprise AI Platform Strategist
2 days ago
Job Title: Enterprise AI Platform Strategist
About the Role:
We are seeking a seasoned AI platform strategist to lead the design and implementation of our enterprise AI/ML platform. The successful candidate will have a strong background in software engineering, ML platform infrastructure, and cloud-native tools.
Key Responsibilities:
- Develop and maintain a comprehensive reference architecture for our AI/ML platform, encompassing data pipelines, model training, CI/CD, and observability.
- Create reusable platform services such as model registries, training environments, orchestration frameworks, and experiment tracking systems.
- Design self-service interfaces (API/CLI/UI) for scalable and secure platform consumption by engineering teams.
- Collaborate with cross-functional teams to ensure platform integration and adoption.
- Develop 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.
Requirements:
- 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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