Lead Ai Platform & Automation Engineer - Gcp, Vertex Ai, Ibm Watsonx, Mlflow, Terraform
Jobs Ups
Ibm watsonx platform ownership
Google cloud vertex ai platform ownership
Ai & ml pipeline automation
Serve as the primary owner of the IBM watsonx platform and Google Cloud Vertex AI platform, while providing support to Azure driving adoption, standardization, automation, and governance across the organization
Job Summary
Serve as the primary owner of the IBM watsonx platform and Google Cloud Vertex AI platform, while providing support to Azure driving adoption, standardization, automation, and governance across the organization.
Architect and manage enterprise-wide CI/CD and MLOps pipelines for model training, tuning, evaluation, and deployment, as well as data ingestion and infrastructure provisioning.
Lead and mentor a cross-functional team of AI platform engineers, MLOps practitioners, BI analysts, and DevSecOps engineers, defining goals, delivery milestones, and best practices.
Matching Summary
Serve as the primary owner of the IBM watsonx platform and Google Cloud Vertex AI platform, while providing support to Azure driving adoption, standardization, automation, and governance across the organization.
Skills & Requirements
Must-have
IBM watsonx platform ownership
Google Cloud Vertex AI platform ownership
AI & ML pipeline automation
DevSecOps integration
Terraform for IaC
Python and Bash scripting
Nice-to-have
leading talented teams
rewarding culture
innovative possibilities
Agentic AI enablement
BI tooling guidance
Key Requirements
8+ years in cloud engineering, MLOps, or platform leadership
3+ years leading enterprise platform delivery
Proven experience managing IBM watsonx and Vertex AI
Hands-on delivery of secure, automated pipelines
Experience implementing AI governance and compliance