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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate shared platform capabilities to enable AI/ML and Generative AI workloads at scale across multi-cloud environments (Azure, GCP, AWS, Databricks).
Build and maintain CI/CD pipelines and IaC using Terraform, Azure DevOps, GitHub Actions for AI infrastructure provisioning including models, vector stores, and GPU environments.
Provide platform-level support and lead technical guidance on AI/ML operations including model serving, monitoring, cost management, and responsible AI guardrails.
Minimum Requirements
10+ years of relevant experience in cloud or platform engineering including hands-on experience enabling AI/ML or Generative AI workloads.
Experience with at least two public cloud platforms from Azure, GCP, AWS; Databricks experience highly desirable.
Proficiency with Infrastructure as Code tools (Terraform) and CI/CD tooling (Azure DevOps, GitHub Enterprise/Actions).
Bachelor's or Master's degree in computer science, AI/ML, Data Science, or related field.
Ideal Candidate Profile
Technically adept cloud/platform engineer with strong multi-cloud expertise and a focus on AI/ML infrastructure and operations.
Experienced in building reusable, secure, scalable AI platform patterns and automation to enforce compliance and cost governance.
Demonstrated ability to collaborate cross-functionally and provide mentorship on AI platform engineering practices in a global, hybrid working environment.